From b82c9d63e58f1d6b87ad679ab107257ec137c884 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Sun, 4 Jan 2026 10:17:25 +0800
Subject: [PATCH 01/13] add bf16 support

---
 README.md                         |  25 +++++++
 include/bf16_simd_kernels.h       |  17 +++++
 include/bfloat16.h                |  44 ++++++++++++
 include/distance.h                |  28 ++++++++
 include/program_options_utils.hpp |   3 +-
 include/utils.h                   |   9 ++-
 src/CMakeLists.txt                |  29 ++++++++
 src/abstract_data_store.cpp       |   2 +
 src/bf16_simd_kernels.cpp         |  88 +++++++++++++++++++++++
 src/distance.cpp                  |  90 ++++++++++++++++++++++++
 src/in_mem_data_store.cpp         |   3 +
 src/index.cpp                     |  43 ++++++++++--
 src/index_factory.cpp             |  38 +++++++---
 src/scratch.cpp                   |   5 ++
 src/utils.cpp                     | 113 +++++++++++++++++++++++++++++-
 15 files changed, 520 insertions(+), 17 deletions(-)
 create mode 100644 include/bf16_simd_kernels.h
 create mode 100644 include/bfloat16.h
 create mode 100644 src/bf16_simd_kernels.cpp

diff --git a/README.md b/README.md
index a20a1d671..82135a497 100644
--- a/README.md
+++ b/README.md
@@ -48,6 +48,31 @@ sudo sh l_BaseKit_p_2022.1.2.146.sh -a --components intel.oneapi.lin.mkl.devel -
 mkdir build && cd build && cmake -DCMAKE_BUILD_TYPE=Release .. && make -j 
 ```
 
+### AVX-512 BF16 (optional acceleration)
+
+DiskANN includes an optional AVX-512 BF16-accelerated kernel for `bf16` distance computations.
+
+- Compile-time: the AVX-512 BF16 kernel is enabled only when the compiler supports the required flags; it is compiled for a single source file (`src/bf16_simd_kernels.cpp`) so the rest of the project is not forced to use AVX-512.
+- Runtime: `bf16` distance code automatically dispatches to the AVX-512 BF16 kernel only when the running CPU/OS supports AVX-512 BF16; otherwise it falls back to the scalar implementation.
+
+You can control this with the following CMake options (non-MSVC builds):
+
+- Default (try to enable when supported):
+    ```bash
+    cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DDISKANN_AVX512BF16=ON
+    cmake --build build -j
+    ```
+- Force disable:
+    ```bash
+    cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DDISKANN_AVX512BF16=OFF
+    cmake --build build -j
+    ```
+- Force enable (fail configure if compiler does not support AVX-512 BF16 flags):
+    ```bash
+    cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DDISKANN_FORCE_AVX512BF16=ON
+    cmake --build build -j
+    ```
+
 ## Windows build:
 
 The Windows version has been tested with Enterprise editions of Visual Studio 2022, 2019 and 2017. It should work with the Community and Professional editions as well without any changes. 
diff --git a/include/bf16_simd_kernels.h b/include/bf16_simd_kernels.h
new file mode 100644
index 000000000..9c1f2cf8f
--- /dev/null
+++ b/include/bf16_simd_kernels.h
@@ -0,0 +1,17 @@
+#pragma once
+
+#include <cstdint>
+
+#include "bfloat16.h"
+
+namespace diskann
+{
+// Returns true if this build produced AVX-512 BF16 kernels (i.e. the compiler supported
+// AVX-512 BF16 intrinsics for the relevant translation unit).
+bool avx512bf16_kernels_compiled();
+
+// Dot product of bf16 vectors with f32 accumulation.
+// If AVX-512 BF16 kernels are not compiled in, this falls back to a scalar implementation.
+float bf16_dot_f32_accum(const bfloat16 *a, const bfloat16 *b, uint32_t length);
+
+} // namespace diskann
diff --git a/include/bfloat16.h b/include/bfloat16.h
new file mode 100644
index 000000000..7dcfd407f
--- /dev/null
+++ b/include/bfloat16.h
@@ -0,0 +1,44 @@
+#pragma once
+
+#include <cstdint>
+#include <cstring>
+
+namespace diskann
+{
+// Minimal IEEE-754 bfloat16 (bf16) implementation.
+// Stores the top 16 bits of a float32, with round-to-nearest-even on conversion.
+struct bfloat16
+{
+    uint16_t value = 0;
+
+    constexpr bfloat16() = default;
+    explicit constexpr bfloat16(uint16_t v) : value(v)
+    {
+    }
+
+    static inline bfloat16 from_float(float f)
+    {
+        uint32_t bits = 0;
+        std::memcpy(&bits, &f, sizeof(bits));
+
+        // Round-to-nearest-even: add 0x7FFF + LSB of the truncated part.
+        const uint32_t lsb = (bits >> 16) & 1u;
+        bits += 0x7FFFu + lsb;
+        return bfloat16(static_cast<uint16_t>(bits >> 16));
+    }
+
+    inline float to_float() const
+    {
+        uint32_t bits = static_cast<uint32_t>(value) << 16;
+        float f = 0.0f;
+        std::memcpy(&f, &bits, sizeof(f));
+        return f;
+    }
+
+    inline operator float() const
+    {
+        return to_float();
+    }
+};
+
+} // namespace diskann
diff --git a/include/distance.h b/include/distance.h
index f3b1de25a..e0d18314c 100644
--- a/include/distance.h
+++ b/include/distance.h
@@ -1,5 +1,6 @@
 #pragma once
 #include "windows_customizations.h"
+#include "bfloat16.h"
 #include <cstring>
 
 namespace diskann
@@ -232,4 +233,31 @@ class AVXNormalizedCosineDistanceFloat : public Distance<float>
 
 template <typename T> Distance<T> *get_distance_function(Metric m);
 
+class DistanceL2BFloat16 : public Distance<bfloat16>
+{
+  public:
+    DistanceL2BFloat16() : Distance<bfloat16>(diskann::Metric::L2)
+    {
+    }
+    DISKANN_DLLEXPORT virtual float compare(const bfloat16 *a, const bfloat16 *b, uint32_t size) const;
+};
+
+class DistanceCosineBFloat16 : public Distance<bfloat16>
+{
+  public:
+    DistanceCosineBFloat16() : Distance<bfloat16>(diskann::Metric::COSINE)
+    {
+    }
+    DISKANN_DLLEXPORT virtual float compare(const bfloat16 *a, const bfloat16 *b, uint32_t length) const;
+};
+
+class DistanceInnerProductBFloat16 : public Distance<bfloat16>
+{
+  public:
+    DistanceInnerProductBFloat16() : Distance<bfloat16>(diskann::Metric::INNER_PRODUCT)
+    {
+    }
+    DISKANN_DLLEXPORT virtual float compare(const bfloat16 *a, const bfloat16 *b, uint32_t length) const;
+};
+
 } // namespace diskann
diff --git a/include/program_options_utils.hpp b/include/program_options_utils.hpp
index 2be60595b..deeeb478d 100644
--- a/include/program_options_utils.hpp
+++ b/include/program_options_utils.hpp
@@ -18,7 +18,8 @@ const std::string make_program_description(const char *executable_name, const ch
 }
 
 // Required parameters
-const char *DATA_TYPE_DESCRIPTION = "data type, one of {int8, uint8, float} - float is single precision (32 bit)";
+const char *DATA_TYPE_DESCRIPTION =
+    "data type, one of {int8, uint8, float, bf16} - float is single precision (32 bit), bf16 is bfloat16 (16 bit)";
 const char *DISTANCE_FUNCTION_DESCRIPTION =
     "distance function {l2, mips, fast_l2, cosine}.  'fast l2' and 'mips' only support data_type float";
 const char *INDEX_PATH_PREFIX_DESCRIPTION = "Path prefix to the index, e.g. '/mnt/data/my_ann_index'";
diff --git a/include/utils.h b/include/utils.h
index c04a16515..35256c1a5 100644
--- a/include/utils.h
+++ b/include/utils.h
@@ -27,6 +27,7 @@ typedef int FileHandle;
 #include "windows_customizations.h"
 #include "tsl/robin_set.h"
 #include "types.h"
+#include "bfloat16.h"
 #include "tag_uint128.h"
 #include <any>
 
@@ -1161,6 +1162,10 @@ template <> inline const char *diskann_type_to_name<int8_t>()
 {
     return "int8";
 }
+template <> inline const char *diskann_type_to_name<diskann::bfloat16>()
+{
+    return "bf16";
+}
 template <> inline const char *diskann_type_to_name<uint16_t>()
 {
     return "uint16";
@@ -1190,9 +1195,6 @@ template <> inline const char *diskann_type_to_name<int64_t>()
 #include <intrin.h>
 #include <Psapi.h>
 
-extern bool AvxSupportedCPU;
-extern bool Avx2SupportedCPU;
-
 inline size_t getMemoryUsage()
 {
     PROCESS_MEMORY_COUNTERS_EX pmc;
@@ -1250,3 +1252,4 @@ inline size_t getMemoryUsage()
 
 extern bool AvxSupportedCPU;
 extern bool Avx2SupportedCPU;
+extern bool Avx512Bf16SupportedCPU;
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index cbca26440..d3136ff5c 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -14,6 +14,35 @@ else()
         in_mem_data_store.cpp in_mem_graph_store.cpp
         natural_number_set.cpp memory_mapper.cpp partition.cpp pq.cpp
         pq_flash_index.cpp scratch.cpp logger.cpp utils.cpp filter_utils.cpp index_factory.cpp abstract_index.cpp pq_l2_distance.cpp pq_data_store.cpp)
+    list(APPEND CPP_SOURCES bf16_simd_kernels.cpp)
+
+    include(CheckCXXCompilerFlag)
+
+    # AVX-512 BF16 kernels: compile-time optional, runtime dispatched.
+    # - DISKANN_AVX512BF16 (default ON): enable kernels when compiler supports required flags.
+    # - DISKANN_FORCE_AVX512BF16 (default OFF): require kernels; fail configure if unsupported.
+    option(DISKANN_AVX512BF16 "Enable AVX-512 BF16 kernels when supported by compiler" ON)
+    option(DISKANN_FORCE_AVX512BF16 "Force AVX-512 BF16 kernels; fail if unsupported" OFF)
+
+    check_cxx_compiler_flag("-mavx512bf16" DISKANN_HAS_MAVX512BF16)
+    check_cxx_compiler_flag("-mavx512f" DISKANN_HAS_MAVX512F)
+
+    set(DISKANN_ENABLE_AVX512BF16_KERNELS OFF)
+    if (DISKANN_FORCE_AVX512BF16)
+        if (NOT (DISKANN_HAS_MAVX512BF16 AND DISKANN_HAS_MAVX512F))
+            message(FATAL_ERROR "DISKANN_FORCE_AVX512BF16=ON but compiler does not support -mavx512bf16 and -mavx512f")
+        endif()
+        set(DISKANN_ENABLE_AVX512BF16_KERNELS ON)
+    elseif (DISKANN_AVX512BF16)
+        if (DISKANN_HAS_MAVX512BF16 AND DISKANN_HAS_MAVX512F)
+            set(DISKANN_ENABLE_AVX512BF16_KERNELS ON)
+        endif()
+    endif()
+
+    if (DISKANN_ENABLE_AVX512BF16_KERNELS)
+        set_source_files_properties(bf16_simd_kernels.cpp PROPERTIES
+            COMPILE_OPTIONS "-mavx512f;-mavx512bw;-mavx512vl;-mavx512dq;-mavx512bf16")
+    endif()
     if (RESTAPI)
         list(APPEND CPP_SOURCES restapi/search_wrapper.cpp restapi/server.cpp)
     endif()
diff --git a/src/abstract_data_store.cpp b/src/abstract_data_store.cpp
index 0cff0152e..745ac7fca 100644
--- a/src/abstract_data_store.cpp
+++ b/src/abstract_data_store.cpp
@@ -3,6 +3,7 @@
 
 #include <vector>
 #include "abstract_data_store.h"
+#include "bfloat16.h"
 
 namespace diskann
 {
@@ -42,4 +43,5 @@ template <typename data_t> location_t AbstractDataStore<data_t>::resize(const lo
 template DISKANN_DLLEXPORT class AbstractDataStore<float>;
 template DISKANN_DLLEXPORT class AbstractDataStore<int8_t>;
 template DISKANN_DLLEXPORT class AbstractDataStore<uint8_t>;
+template DISKANN_DLLEXPORT class AbstractDataStore<bfloat16>;
 } // namespace diskann
diff --git a/src/bf16_simd_kernels.cpp b/src/bf16_simd_kernels.cpp
new file mode 100644
index 000000000..275f23139
--- /dev/null
+++ b/src/bf16_simd_kernels.cpp
@@ -0,0 +1,88 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT license.
+
+#include "bf16_simd_kernels.h"
+
+#include <cstdlib>
+#include <cmath>
+
+#if defined(__AVX512BF16__) && defined(__AVX512F__)
+#include <immintrin.h>
+#endif
+
+namespace diskann
+{
+
+static inline float bf16_dot_scalar(const bfloat16 *a, const bfloat16 *b, uint32_t length)
+{
+    float dot = 0.0f;
+#ifndef _WINDOWS
+#pragma omp simd reduction(+ : dot) aligned(a, b : 8)
+#endif
+    for (int32_t i = 0; i < (int32_t)length; i++)
+    {
+        dot += a[i].to_float() * b[i].to_float();
+    }
+    return dot;
+}
+
+#if defined(__AVX512BF16__) && defined(__AVX512F__)
+
+bool avx512bf16_kernels_compiled()
+{
+    return true;
+}
+
+// AVX-512 BF16 dot: each _mm512_dpbf16_ps consumes 32 bf16 elements and accumulates
+// into 16 fp32 lanes (pairwise dot). We reduce the accumulator at the end.
+float bf16_dot_f32_accum(const bfloat16 *a, const bfloat16 *b, uint32_t length)
+{
+    constexpr uint32_t kStep = 32;
+
+    __m512 acc = _mm512_setzero_ps();
+    uint32_t i = 0;
+
+    for (; i + (kStep - 1) < length; i += kStep)
+    {
+        // Load 32 bf16 values (64 bytes) for each vector.
+        const __m512i va_i = _mm512_loadu_si512((const void *)(a + i));
+        const __m512i vb_i = _mm512_loadu_si512((const void *)(b + i));
+
+        // Reinterpret as bf16 vectors.
+        const __m512bh va = (__m512bh)va_i;
+        const __m512bh vb = (__m512bh)vb_i;
+
+        acc = _mm512_dpbf16_ps(acc, va, vb);
+    }
+
+    alignas(64) float lanes[16];
+    _mm512_store_ps(lanes, acc);
+
+    float dot = 0.0f;
+    for (int lane = 0; lane < 16; ++lane)
+        dot += lanes[lane];
+
+    // Remainder.
+    if (i < length)
+    {
+        dot += bf16_dot_scalar(a + i, b + i, length - i);
+    }
+
+    return dot;
+}
+
+#else
+
+bool avx512bf16_kernels_compiled()
+{
+    return false;
+}
+
+float bf16_dot_f32_accum(const bfloat16 *a, const bfloat16 *b, uint32_t length)
+{
+    return bf16_dot_scalar(a, b, length);
+}
+
+#endif
+
+} // namespace diskann
diff --git a/src/distance.cpp b/src/distance.cpp
index c2f88c85b..78109e308 100644
--- a/src/distance.cpp
+++ b/src/distance.cpp
@@ -15,6 +15,7 @@
 #include <iostream>
 
 #include "distance.h"
+#include "bf16_simd_kernels.h"
 #include "utils.h"
 #include "logger.h"
 #include "ann_exception.h"
@@ -22,6 +23,68 @@
 namespace diskann
 {
 
+float DistanceL2BFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint32_t size) const
+{
+    if (Avx512Bf16SupportedCPU && avx512bf16_kernels_compiled())
+    {
+        const float aa = bf16_dot_f32_accum(a, a, size);
+        const float bb = bf16_dot_f32_accum(b, b, size);
+        const float ab = bf16_dot_f32_accum(a, b, size);
+        return aa + bb - 2.0f * ab;
+    }
+
+    float result = 0.0f;
+#ifndef _WINDOWS
+#pragma omp simd reduction(+ : result) aligned(a, b : 8)
+#endif
+    for (int32_t i = 0; i < (int32_t)size; i++)
+    {
+        const float da = a[i].to_float();
+        const float db = b[i].to_float();
+        const float diff = da - db;
+        result += diff * diff;
+    }
+    return result;
+}
+
+float DistanceCosineBFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint32_t length) const
+{
+    if (Avx512Bf16SupportedCPU && avx512bf16_kernels_compiled())
+    {
+        const float magA = bf16_dot_f32_accum(a, a, length);
+        const float magB = bf16_dot_f32_accum(b, b, length);
+        const float scalarProduct = bf16_dot_f32_accum(a, b, length);
+        return 1.0f - (scalarProduct / (sqrt(magA) * sqrt(magB)));
+    }
+
+    float magA = 0.0f, magB = 0.0f, scalarProduct = 0.0f;
+    for (uint32_t i = 0; i < length; i++)
+    {
+        const float da = a[i].to_float();
+        const float db = b[i].to_float();
+        magA += da * da;
+        magB += db * db;
+        scalarProduct += da * db;
+    }
+    return 1.0f - (scalarProduct / (sqrt(magA) * sqrt(magB)));
+}
+
+float DistanceInnerProductBFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint32_t length) const
+{
+    if (Avx512Bf16SupportedCPU && avx512bf16_kernels_compiled())
+    {
+        return -bf16_dot_f32_accum(a, b, length);
+    }
+
+    float dot = 0.0f;
+    for (uint32_t i = 0; i < length; i++)
+    {
+        dot += a[i].to_float() * b[i].to_float();
+    }
+    // Match DistanceInnerProduct semantics: return negative inner product as a distance.
+    return -dot;
+}
+
 //
 // Base Class Implementatons
 //
@@ -714,6 +777,32 @@ template <> diskann::Distance<uint8_t> *get_distance_function(diskann::Metric m)
     }
 }
 
+template <> diskann::Distance<bfloat16> *get_distance_function(diskann::Metric m)
+{
+    if (m == diskann::Metric::L2)
+    {
+        diskann::cout << "L2: Using bf16 distance computation DistanceL2BFloat16" << std::endl;
+        return new diskann::DistanceL2BFloat16();
+    }
+    else if (m == diskann::Metric::COSINE)
+    {
+        diskann::cout << "Cosine: Using bf16 distance computation DistanceCosineBFloat16" << std::endl;
+        return new diskann::DistanceCosineBFloat16();
+    }
+    else if (m == diskann::Metric::INNER_PRODUCT)
+    {
+        diskann::cout << "Inner product: Using bf16 distance computation DistanceInnerProductBFloat16" << std::endl;
+        return new diskann::DistanceInnerProductBFloat16();
+    }
+    else
+    {
+        std::stringstream stream;
+        stream << "Only L2, cosine, and inner product supported for bf16 vectors." << std::endl;
+        diskann::cerr << stream.str() << std::endl;
+        throw diskann::ANNException(stream.str(), -1, __FUNCSIG__, __FILE__, __LINE__);
+    }
+}
+
 template DISKANN_DLLEXPORT class DistanceInnerProduct<float>;
 template DISKANN_DLLEXPORT class DistanceInnerProduct<int8_t>;
 template DISKANN_DLLEXPORT class DistanceInnerProduct<uint8_t>;
@@ -729,5 +818,6 @@ template DISKANN_DLLEXPORT class SlowDistanceL2<uint8_t>;
 template DISKANN_DLLEXPORT Distance<float> *get_distance_function(Metric m);
 template DISKANN_DLLEXPORT Distance<int8_t> *get_distance_function(Metric m);
 template DISKANN_DLLEXPORT Distance<uint8_t> *get_distance_function(Metric m);
+template DISKANN_DLLEXPORT Distance<bfloat16> *get_distance_function(Metric m);
 
 } // namespace diskann
diff --git a/src/in_mem_data_store.cpp b/src/in_mem_data_store.cpp
index 85dea1af5..2fc0cea61 100644
--- a/src/in_mem_data_store.cpp
+++ b/src/in_mem_data_store.cpp
@@ -222,8 +222,10 @@ template <typename data_t>
 void InMemDataStore<data_t>::get_distance(const data_t *preprocessed_query, const std::vector<location_t> &ids,
                                           std::vector<float> &distances, AbstractScratch<data_t> *scratch_space) const
 {
+    // printf("---->InMemDataStore<data_t>::get_distance ids.size: %ld\n", ids.size());
     for (int i = 0; i < ids.size(); i++)
     {
+        // printf("ids[i]:%d\n",ids[i]);
         distances[i] =
             _distance_fn->compare(preprocessed_query, _data + ids[i] * _aligned_dim, (uint32_t)this->_aligned_dim);
     }
@@ -397,5 +399,6 @@ template <typename data_t> Distance<data_t> *InMemDataStore<data_t>::get_dist_fn
 template DISKANN_DLLEXPORT class InMemDataStore<float>;
 template DISKANN_DLLEXPORT class InMemDataStore<int8_t>;
 template DISKANN_DLLEXPORT class InMemDataStore<uint8_t>;
+template DISKANN_DLLEXPORT class InMemDataStore<diskann::bfloat16>;
 
 } // namespace diskann
\ No newline at end of file
diff --git a/src/index.cpp b/src/index.cpp
index 4b38027d7..2901bf468 100644
--- a/src/index.cpp
+++ b/src/index.cpp
@@ -145,14 +145,27 @@ Index<T, TagT, LabelT>::Index(Metric m, const size_t dim, const size_t max_point
                                              (size_t)((index_parameters == nullptr ? 0 : index_parameters->max_degree) *
                                                       defaults::GRAPH_SLACK_FACTOR * 1.05)))
 {
-    if (_pq_dist)
+    if constexpr (std::is_same<T, diskann::bfloat16>::value)
     {
-        _pq_data_store = IndexFactory::construct_pq_datastore<T>(DataStoreStrategy::MEMORY, max_points + num_frozen_pts,
-                                                                 dim, m, num_pq_chunks, use_opq);
+        if (_pq_dist)
+        {
+            throw ANNException("ERROR: pq_dist_build is not supported for bf16 yet.", -1, __FUNCSIG__, __FILE__,
+                               __LINE__);
+        }
+        _pq_data_store = _data_store;
     }
     else
     {
-        _pq_data_store = _data_store;
+        if (_pq_dist)
+        {
+            _pq_data_store = IndexFactory::construct_pq_datastore<T>(DataStoreStrategy::MEMORY,
+                                                                     max_points + num_frozen_pts, dim, m,
+                                                                     num_pq_chunks, use_opq);
+        }
+        else
+        {
+            _pq_data_store = _data_store;
+        }
     }
 }
 
@@ -3203,6 +3216,13 @@ template <typename T, typename TagT, typename LabelT> void Index<T, TagT, LabelT
                                     __FILE__, __LINE__);
     }
 
+    if constexpr (std::is_same<T, diskann::bfloat16>::value)
+    {
+        throw diskann::ANNException(
+            "Optimized index layout is only supported for float (FAST_L2). For bf16, disable optimized layout.", -1,
+            __FUNCSIG__, __FILE__, __LINE__);
+    }
+
     float *cur_vec = new float[_data_store->get_aligned_dim()];
     std::memset(cur_vec, 0, _data_store->get_aligned_dim() * sizeof(float));
     _data_len = (_data_store->get_aligned_dim() + 1) * sizeof(float);
@@ -3253,6 +3273,13 @@ void Index<T, TagT, LabelT>::_search_with_optimized_layout(const DataType &query
 template <typename T, typename TagT, typename LabelT>
 void Index<T, TagT, LabelT>::search_with_optimized_layout(const T *query, size_t K, size_t L, uint32_t *indices)
 {
+    if constexpr (std::is_same<T, diskann::bfloat16>::value)
+    {
+        throw diskann::ANNException(
+            "search_with_optimized_layout is only supported for float (FAST_L2). For bf16, disable optimized layout.",
+            -1, __FUNCSIG__, __FILE__, __LINE__);
+    }
+
     DistanceFastL2<T> *dist_fast = (DistanceFastL2<T> *)(_data_store->get_dist_fn());
 
     NeighborPriorityQueue retset(L);
@@ -3340,15 +3367,19 @@ template <typename T, typename TagT, typename LabelT> const float Index<T, TagT,
 template DISKANN_DLLEXPORT class Index<float, int32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, int32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, int32_t, uint32_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, int32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<float, uint32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, uint32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, uint32_t, uint32_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, uint32_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<float, int64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, int64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, int64_t, uint32_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, int64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<float, uint64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, uint64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, uint64_t, uint32_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, uint64_t, uint32_t>;
 template DISKANN_DLLEXPORT class Index<float, tag_uint128, uint32_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, tag_uint128, uint32_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, tag_uint128, uint32_t>;
@@ -3356,15 +3387,19 @@ template DISKANN_DLLEXPORT class Index<uint8_t, tag_uint128, uint32_t>;
 template DISKANN_DLLEXPORT class Index<float, int32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, int32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, int32_t, uint16_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, int32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<float, uint32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, uint32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, uint32_t, uint16_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, uint32_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<float, int64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, int64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, int64_t, uint16_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, int64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<float, uint64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, uint64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, uint64_t, uint16_t>;
+template DISKANN_DLLEXPORT class Index<diskann::bfloat16, uint64_t, uint16_t>;
 template DISKANN_DLLEXPORT class Index<float, tag_uint128, uint16_t>;
 template DISKANN_DLLEXPORT class Index<int8_t, tag_uint128, uint16_t>;
 template DISKANN_DLLEXPORT class Index<uint8_t, tag_uint128, uint16_t>;
diff --git a/src/index_factory.cpp b/src/index_factory.cpp
index 35790f8d6..abda6895f 100644
--- a/src/index_factory.cpp
+++ b/src/index_factory.cpp
@@ -1,6 +1,8 @@
 #include "index_factory.h"
 #include "pq_l2_distance.h"
 
+#include "bfloat16.h"
+
 namespace diskann
 {
 
@@ -34,13 +36,21 @@ void IndexFactory::check_config()
                                -1, __FUNCSIG__, __FILE__, __LINE__);
     }
 
-    if (_config->data_type != "float" && _config->data_type != "uint8" && _config->data_type != "int8")
+    const bool is_bf16 = (_config->data_type == "bf16" || _config->data_type == "bfloat16");
+    if (_config->data_type != "float" && _config->data_type != "uint8" && _config->data_type != "int8" &&
+        !is_bf16)
     {
         throw ANNException("ERROR: invalid data type : + " + _config->data_type +
-                               " is not supported. please select from [float, int8, uint8]",
+                               " is not supported. please select from [float, int8, uint8, bf16]",
                            -1);
     }
 
+    // Minimal initial bf16 support: full-precision build/search only.
+    if (is_bf16 && _config->pq_dist_build)
+    {
+        throw ANNException("ERROR: pq_dist_build is not supported for bf16 yet. Use build_PQ_bytes=0.", -1);
+    }
+
     if (_config->tag_type != "int32" && _config->tag_type != "uint32" && _config->tag_type != "int64" &&
         _config->tag_type != "uint64")
     {
@@ -124,15 +134,23 @@ std::unique_ptr<AbstractIndex> IndexFactory::create_instance()
     auto data_store = construct_datastore<data_type>(_config->data_strategy, num_points, dim, _config->metric);
     std::shared_ptr<AbstractDataStore<data_type>> pq_data_store = nullptr;
 
-    if (_config->data_strategy == DataStoreStrategy::MEMORY && _config->pq_dist_build)
+    if constexpr (std::is_same<data_type, diskann::bfloat16>::value)
     {
-        pq_data_store =
-            construct_pq_datastore<data_type>(_config->data_strategy, num_points + _config->num_frozen_pts, dim,
-                                              _config->metric, _config->num_pq_chunks, _config->use_opq);
+        // bf16: do not compile/instantiate PQ datastore path yet.
+        pq_data_store = data_store;
     }
     else
     {
-        pq_data_store = data_store;
+        if (_config->data_strategy == DataStoreStrategy::MEMORY && _config->pq_dist_build)
+        {
+            pq_data_store =
+                construct_pq_datastore<data_type>(_config->data_strategy, num_points + _config->num_frozen_pts, dim,
+                                                  _config->metric, _config->num_pq_chunks, _config->use_opq);
+        }
+        else
+        {
+            pq_data_store = data_store;
+        }
     }
     size_t max_reserve_degree =
         (size_t)(defaults::GRAPH_SLACK_FACTOR * 1.05 *
@@ -161,8 +179,12 @@ std::unique_ptr<AbstractIndex> IndexFactory::create_instance(const std::string &
     {
         return create_instance<int8_t>(tag_type, label_type);
     }
+    else if (data_type == std::string("bf16") || data_type == std::string("bfloat16"))
+    {
+        return create_instance<diskann::bfloat16>(tag_type, label_type);
+    }
     else
-        throw ANNException("Error: unsupported data_type please choose from [float/int8/uint8]", -1);
+        throw ANNException("Error: unsupported data_type please choose from [float/int8/uint8/bf16]", -1);
 }
 
 template <typename data_type>
diff --git a/src/scratch.cpp b/src/scratch.cpp
index 1f8a34bb1..4fb3a1f29 100644
--- a/src/scratch.cpp
+++ b/src/scratch.cpp
@@ -6,6 +6,7 @@
 
 #include "scratch.h"
 #include "pq_scratch.h"
+#include "bfloat16.h"
 
 namespace diskann
 {
@@ -166,17 +167,21 @@ template <typename T> void PQScratch<T>::initialize(size_t dim, const T *query,
 template DISKANN_DLLEXPORT class InMemQueryScratch<int8_t>;
 template DISKANN_DLLEXPORT class InMemQueryScratch<uint8_t>;
 template DISKANN_DLLEXPORT class InMemQueryScratch<float>;
+template DISKANN_DLLEXPORT class InMemQueryScratch<bfloat16>;
 
 template DISKANN_DLLEXPORT class SSDQueryScratch<int8_t>;
 template DISKANN_DLLEXPORT class SSDQueryScratch<uint8_t>;
 template DISKANN_DLLEXPORT class SSDQueryScratch<float>;
+template DISKANN_DLLEXPORT class SSDQueryScratch<bfloat16>;
 
 template DISKANN_DLLEXPORT class PQScratch<int8_t>;
 template DISKANN_DLLEXPORT class PQScratch<uint8_t>;
 template DISKANN_DLLEXPORT class PQScratch<float>;
+template DISKANN_DLLEXPORT class PQScratch<bfloat16>;
 
 template DISKANN_DLLEXPORT class SSDThreadData<int8_t>;
 template DISKANN_DLLEXPORT class SSDThreadData<uint8_t>;
 template DISKANN_DLLEXPORT class SSDThreadData<float>;
+template DISKANN_DLLEXPORT class SSDThreadData<bfloat16>;
 
 } // namespace diskann
diff --git a/src/utils.cpp b/src/utils.cpp
index 3773cda22..595d51eb0 100644
--- a/src/utils.cpp
+++ b/src/utils.cpp
@@ -61,13 +61,124 @@ bool cpuHasAvx2Support()
     return false;
 }
 
+bool cpuHasAvx512bf16Support()
+{
+    // Need OSXSAVE + XCR0 enabling ZMM state, plus AVX-512F and AVX-512 BF16.
+    int cpuInfo[4];
+    __cpuid(cpuInfo, 1);
+    bool osUsesXSAVE_XRSTORE = (cpuInfo[2] & (1 << 27)) != 0;
+    if (!osUsesXSAVE_XRSTORE)
+        return false;
+
+    unsigned long long xcr0 = _xgetbv(_XCR_XFEATURE_ENABLED_MASK);
+    // Require XMM (bit1), YMM (bit2), opmask (bit5), ZMM_hi256 (bit6), hi16_zmm (bit7)
+    const unsigned long long kXcr0Avx512Mask = 0xE6;
+    if ((xcr0 & kXcr0Avx512Mask) != kXcr0Avx512Mask)
+        return false;
+
+    __cpuid(cpuInfo, 0);
+    int n = cpuInfo[0];
+    if (n < 7)
+        return false;
+
+    // AVX-512F is CPUID.(EAX=7,ECX=0):EBX[16]
+    __cpuidex(cpuInfo, 7, 0);
+    const bool hasAvx512F = (cpuInfo[1] & (1 << 16)) != 0;
+    if (!hasAvx512F)
+        return false;
+
+    // AVX512_BF16 is CPUID.(EAX=7,ECX=1):EAX[5]
+    __cpuidex(cpuInfo, 7, 1);
+    const bool hasAvx512Bf16 = (cpuInfo[0] & (1 << 5)) != 0;
+    return hasAvx512Bf16;
+}
+
+bool AvxSupportedCPU = cpuHasAvxSupport();
+bool Avx2SupportedCPU = cpuHasAvx2Support();
+bool Avx512Bf16SupportedCPU = cpuHasAvx512bf16Support();
+
+#else
+
+#if defined(__x86_64__) || defined(__i386__)
+#include <cpuid.h>
+
+static inline uint64_t xgetbv_u32(uint32_t index)
+{
+    uint32_t eax = 0, edx = 0;
+    __asm__ volatile("xgetbv" : "=a"(eax), "=d"(edx) : "c"(index));
+    return (static_cast<uint64_t>(edx) << 32) | eax;
+}
+
+static inline bool cpuHasOsAvxSupport()
+{
+    unsigned int eax = 0, ebx = 0, ecx = 0, edx = 0;
+    if (!__get_cpuid(1, &eax, &ebx, &ecx, &edx))
+        return false;
+    const bool osxsave = (ecx & (1u << 27)) != 0;
+    const bool avx = (ecx & (1u << 28)) != 0;
+    if (!(osxsave && avx))
+        return false;
+    const uint64_t xcr0 = xgetbv_u32(0);
+    return (xcr0 & 0x6) == 0x6;
+}
+
+bool cpuHasAvxSupport()
+{
+    return cpuHasOsAvxSupport();
+}
+
+bool cpuHasAvx2Support()
+{
+    if (!cpuHasOsAvxSupport())
+        return false;
+    unsigned int eax = 0, ebx = 0, ecx = 0, edx = 0;
+    if (!__get_cpuid_max(0, nullptr))
+        return false;
+    __cpuid_count(7, 0, eax, ebx, ecx, edx);
+    return (ebx & (1u << 5)) != 0;
+}
+
+bool cpuHasAvx512bf16Support()
+{
+    // Require OSXSAVE + XCR0 enabling full AVX-512 ZMM state.
+    unsigned int eax = 0, ebx = 0, ecx = 0, edx = 0;
+    if (!__get_cpuid(1, &eax, &ebx, &ecx, &edx))
+        return false;
+    const bool osxsave = (ecx & (1u << 27)) != 0;
+    if (!osxsave)
+        return false;
+
+    const uint64_t xcr0 = xgetbv_u32(0);
+    const uint64_t kXcr0Avx512Mask = 0xE6; // XMM|YMM|opmask|ZMM_hi256|hi16_zmm
+    if ((xcr0 & kXcr0Avx512Mask) != kXcr0Avx512Mask)
+        return false;
+
+    if (__get_cpuid_max(0, nullptr) < 7)
+        return false;
+
+    // AVX-512F: CPUID.(EAX=7,ECX=0):EBX[16]
+    __cpuid_count(7, 0, eax, ebx, ecx, edx);
+    const bool hasAvx512F = (ebx & (1u << 16)) != 0;
+    if (!hasAvx512F)
+        return false;
+
+    // AVX512_BF16: CPUID.(EAX=7,ECX=1):EAX[5]
+    __cpuid_count(7, 1, eax, ebx, ecx, edx);
+    const bool hasAvx512Bf16 = (eax & (1u << 5)) != 0;
+    return hasAvx512Bf16;
+}
+
 bool AvxSupportedCPU = cpuHasAvxSupport();
 bool Avx2SupportedCPU = cpuHasAvx2Support();
+bool Avx512Bf16SupportedCPU = cpuHasAvx512bf16Support();
 
 #else
 
-bool Avx2SupportedCPU = true;
 bool AvxSupportedCPU = false;
+bool Avx2SupportedCPU = false;
+bool Avx512Bf16SupportedCPU = false;
+
+#endif
 #endif
 
 namespace diskann

From d2b6ed670e2fd38c74d208d018ad6fe6ea293467 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Sun, 4 Jan 2026 10:36:00 +0800
Subject: [PATCH 02/13] add disk perf test

---
 apps/utils/compute_groundtruth.cpp |  10 ++-
 apps/utils/rand_data_gen.cpp       |  55 ++++++++++++-
 scripts/perf/README.md             |  28 +++++++
 scripts/perf/perf_test.sh          | 119 ++++++++++++++++++++++++-----
 src/distance.cpp                   |   6 ++
 5 files changed, 193 insertions(+), 25 deletions(-)

diff --git a/apps/utils/compute_groundtruth.cpp b/apps/utils/compute_groundtruth.cpp
index da32fd7c6..1cffa9346 100644
--- a/apps/utils/compute_groundtruth.cpp
+++ b/apps/utils/compute_groundtruth.cpp
@@ -498,7 +498,8 @@ int main(int argc, char **argv)
 
         desc.add_options()("help,h", "Print information on arguments");
 
-        desc.add_options()("data_type", po::value<std::string>(&data_type)->required(), "data type <int8/uint8/float>");
+        desc.add_options()("data_type", po::value<std::string>(&data_type)->required(),
+                   "data type <int8/uint8/float/bf16>");
         desc.add_options()("dist_fn", po::value<std::string>(&dist_fn)->required(),
                            "distance function <l2/mips/cosine>");
         desc.add_options()("base_file", po::value<std::string>(&base_file)->required(),
@@ -531,9 +532,10 @@ int main(int argc, char **argv)
         return -1;
     }
 
-    if (data_type != std::string("float") && data_type != std::string("int8") && data_type != std::string("uint8"))
+    if (data_type != std::string("float") && data_type != std::string("bf16") && data_type != std::string("int8") &&
+        data_type != std::string("uint8"))
     {
-        std::cout << "Unsupported type. float, int8 and uint8 types are supported." << std::endl;
+        std::cout << "Unsupported type. float, bf16, int8 and uint8 types are supported." << std::endl;
         return -1;
     }
 
@@ -560,6 +562,8 @@ int main(int argc, char **argv)
     {
         if (data_type == std::string("float"))
             aux_main<float>(base_file, query_file, gt_file, K, metric, tags_file);
+        if (data_type == std::string("bf16"))
+            aux_main<diskann::bfloat16>(base_file, query_file, gt_file, K, metric, tags_file);
         if (data_type == std::string("int8"))
             aux_main<int8_t>(base_file, query_file, gt_file, K, metric, tags_file);
         if (data_type == std::string("uint8"))
diff --git a/apps/utils/rand_data_gen.cpp b/apps/utils/rand_data_gen.cpp
index e89ede800..b5972dcef 100644
--- a/apps/utils/rand_data_gen.cpp
+++ b/apps/utils/rand_data_gen.cpp
@@ -44,6 +44,43 @@ int block_write_float(std::ofstream &writer, size_t ndims, size_t npts, bool nor
     return 0;
 }
 
+int block_write_bf16(std::ofstream &writer, size_t ndims, size_t npts, bool normalization, float norm, float rand_scale)
+{
+    auto vec = new float[ndims];
+    auto vec_bf16 = new diskann::bfloat16[ndims];
+
+    std::random_device rd{};
+    std::mt19937 gen{rd()};
+    std::normal_distribution<> normal_rand{0, 1};
+    std::uniform_real_distribution<> unif_dis(1.0, rand_scale);
+
+    for (size_t i = 0; i < npts; i++)
+    {
+        float sum = 0;
+        float scale = 1.0f;
+        if (rand_scale > 1.0f)
+            scale = (float)unif_dis(gen);
+        for (size_t d = 0; d < ndims; ++d)
+            vec[d] = scale * (float)normal_rand(gen);
+        if (normalization)
+        {
+            for (size_t d = 0; d < ndims; ++d)
+                sum += vec[d] * vec[d];
+            for (size_t d = 0; d < ndims; ++d)
+                vec[d] = vec[d] * norm / std::sqrt(sum);
+        }
+
+        for (size_t d = 0; d < ndims; ++d)
+            vec_bf16[d] = diskann::bfloat16::from_float(vec[d]);
+
+        writer.write((char *)vec_bf16, ndims * sizeof(diskann::bfloat16));
+    }
+
+    delete[] vec;
+    delete[] vec_bf16;
+    return 0;
+}
+
 int block_write_int8(std::ofstream &writer, size_t ndims, size_t npts, float norm)
 {
     auto vec = new float[ndims];
@@ -120,7 +157,8 @@ int main(int argc, char **argv)
 
         desc.add_options()("help,h", "Print information on arguments");
 
-        desc.add_options()("data_type", po::value<std::string>(&data_type)->required(), "data type <int8/uint8/float>");
+        desc.add_options()("data_type", po::value<std::string>(&data_type)->required(),
+                   "data type <int8/uint8/float/bf16>");
         desc.add_options()("output_file", po::value<std::string>(&output_file)->required(),
                            "File name for saving the random vectors");
         desc.add_options()("ndims,D", po::value<uint64_t>(&ndims)->required(), "Dimensoinality of the vector");
@@ -145,9 +183,10 @@ int main(int argc, char **argv)
         return -1;
     }
 
-    if (data_type != std::string("float") && data_type != std::string("int8") && data_type != std::string("uint8"))
+    if (data_type != std::string("float") && data_type != std::string("bf16") && data_type != std::string("int8") &&
+        data_type != std::string("uint8"))
     {
-        std::cout << "Unsupported type. float, int8 and uint8 types are supported." << std::endl;
+        std::cout << "Unsupported type. float, bf16, int8 and uint8 types are supported." << std::endl;
         return -1;
     }
 
@@ -185,6 +224,12 @@ int main(int argc, char **argv)
         }
     }
 
+    if (data_type == std::string("bf16"))
+    {
+        // bf16 follows floating-point generation rules.
+        // (Scaling is allowed only when not normalized, same as float.)
+    }
+
     try
     {
         std::ofstream writer;
@@ -207,6 +252,10 @@ int main(int argc, char **argv)
             {
                 ret = block_write_float(writer, ndims, cblk_size, normalization, norm, rand_scaling);
             }
+            else if (data_type == std::string("bf16"))
+            {
+                ret = block_write_bf16(writer, ndims, cblk_size, normalization, norm, rand_scaling);
+            }
             else if (data_type == std::string("int8"))
             {
                 ret = block_write_int8(writer, ndims, cblk_size, norm);
diff --git a/scripts/perf/README.md b/scripts/perf/README.md
index 692eedca7..cbde8d488 100644
--- a/scripts/perf/README.md
+++ b/scripts/perf/README.md
@@ -9,6 +9,34 @@ development continues.
 
 ## Usage
 
+### Run the perf suite
+
+The main entrypoint is `scripts/perf/perf_test.sh`.
+
+Environment variables:
+
+- `DATA_TYPE` (default: `float`)
+	- Supported: `float`, `bf16`
+- `PERF_MODE` (default: `memory`)
+	- `memory`: run in-memory index perf only
+	- `disk`: run SSD/disk index perf only
+	- `both`: run memory + disk perf
+
+Examples:
+
+```bash
+# Memory index perf with bf16
+DATA_TYPE=bf16 PERF_MODE=memory ./scripts/perf/perf_test.sh
+
+# Disk index perf (float-only)
+DATA_TYPE=float PERF_MODE=disk ./scripts/perf/perf_test.sh
+```
+
+Notes:
+
+- Disk index perf is currently **float-only**. If `PERF_MODE` includes `disk` and `DATA_TYPE!=float`, disk tests are skipped.
+- Legacy `RUN_DISK=1` is still accepted and maps to `PERF_MODE=both` for backward compatibility.
+
 `docker build` must be run with the context directory set to `scripts`, but the Dockerfile set to `scripts/perf/Dockerfile` as in:
 ```bash
 docker build [--build-arg GIT_COMMIT_ISH=<rev>] -f scripts/perf/Dockerfile scripts
diff --git a/scripts/perf/perf_test.sh b/scripts/perf/perf_test.sh
index a8d537f01..0fadae638 100644
--- a/scripts/perf/perf_test.sh
+++ b/scripts/perf/perf_test.sh
@@ -1,40 +1,121 @@
 #!/bin/bash
 
+SCRIPT_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
+REPO_ROOT=$(cd "$SCRIPT_DIR/../.." && pwd)
+cd "$REPO_ROOT"
+
+LOG_DIR=${LOG_DIR:-/app/logs}
+mkdir -p "$LOG_DIR"
+TIME_LOG="$LOG_DIR/time.log"
+
+DATA_TYPE=${DATA_TYPE:-float}
+if [[ "$DATA_TYPE" != "float" && "$DATA_TYPE" != "bf16" ]]; then
+  echo "Unsupported DATA_TYPE='$DATA_TYPE'. Use DATA_TYPE=float or DATA_TYPE=bf16."
+  exit 2
+fi
+
+# Choose which index type(s) to run: memory, disk, or both.
+# Default is memory.
+PERF_MODE=${PERF_MODE:-memory}
+if [[ -n "$RUN_DISK" ]]; then
+  # Backward compatibility: existing RUN_DISK=1 turns on disk tests.
+  if [[ "$RUN_DISK" == "1" ]]; then
+    PERF_MODE=both
+  elif [[ "$RUN_DISK" == "0" ]]; then
+    PERF_MODE=memory
+  else
+    echo "Unsupported RUN_DISK='$RUN_DISK'. Use RUN_DISK=0 or RUN_DISK=1."
+    exit 2
+  fi
+fi
+
+if [[ "$PERF_MODE" != "memory" && "$PERF_MODE" != "disk" && "$PERF_MODE" != "both" ]]; then
+  echo "Unsupported PERF_MODE='$PERF_MODE'. Use PERF_MODE=memory|disk|both."
+  exit 2
+fi
+
 function json_time {
   command="$@"
   echo "Executing $command"
-  /usr/bin/time --quiet -o /app/logs/time.log -a --format '{"command":"%C", "wallclock": %e, "user": %U, "sys": %S}' $command
+  /usr/bin/time --quiet -o "$TIME_LOG" -a --format '{"command":"%C", "wallclock": %e, "user": %U, "sys": %S}' $command
   ret=$?
   if [ $ret -ne 0 ]; then
-    echo "{\"command\": \""$command"\", \"status_code\": $ret}" >> /app/logs/time.log
+    echo "{\"command\": \""$command"\", \"status_code\": $ret}" >> "$TIME_LOG"
   fi
 }
 
 mkdir data
-rm /app/logs/time.log
-touch /app/logs/time.log
-chmod 666 /app/logs/time.log
+rm -f "$TIME_LOG"
+touch "$TIME_LOG"
+chmod 666 "$TIME_LOG"
 
 if [ -d "build/apps" ]; then
-	export BASE_PATH="build/apps"
+  export BASE_PATH="build/apps"
 else
-	export BASE_PATH="build/tests"
+  export BASE_PATH="build/tests"
 fi
 
-json_time $BASE_PATH/utils/rand_data_gen --data_type float --output_file data/rand_float_768D_1M_norm1.0.bin -D 768 -N 1000000 --norm 1.0
-json_time $BASE_PATH/utils/rand_data_gen --data_type float --output_file data/rand_float_768D_10K_norm1.0.bin -D 768 -N 10000 --norm 1.0
+BASE_FILE="data/rand_${DATA_TYPE}_768D_1M_norm1.0.bin"
+QUERY_FILE="data/rand_${DATA_TYPE}_768D_10K_norm1.0.bin"
 
-json_time $BASE_PATH/utils/compute_groundtruth  --data_type float --dist_fn l2 --base_file data/rand_float_768D_1M_norm1.0.bin --query_file data/rand_float_768D_10K_norm1.0.bin --gt_file data/l2_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 --K 100
-json_time $BASE_PATH/utils/compute_groundtruth  --data_type float --dist_fn mips --base_file data/rand_float_768D_1M_norm1.0.bin --query_file data/rand_float_768D_10K_norm1.0.bin --gt_file data/mips_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 --K 100
-json_time $BASE_PATH/utils/compute_groundtruth  --data_type float --dist_fn cosine --base_file data/rand_float_768D_1M_norm1.0.bin --query_file data/rand_float_768D_10K_norm1.0.bin --gt_file data/cosine_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 --K 100
+GT_L2_FILE="data/l2_rand_${DATA_TYPE}_768D_1M_norm1.0_768D_10K_norm1.0_gt100"
+GT_MIPS_FILE="data/mips_rand_${DATA_TYPE}_768D_1M_norm1.0_768D_10K_norm1.0_gt100"
+GT_COSINE_FILE="data/cosine_rand_${DATA_TYPE}_768D_1M_norm1.0_768D_10K_norm1.0_gt100"
 
-json_time $BASE_PATH/build_memory_index --data_type float --dist_fn l2 --data_path data/rand_float_768D_1M_norm1.0.bin --index_path_prefix data/index_l2_rand_float_768D_1M_norm1.0
-json_time $BASE_PATH/search_memory_index --data_type float --dist_fn l2 --index_path_prefix data/index_l2_rand_float_768D_1M_norm1.0 --query_file data/rand_float_768D_10K_norm1.0.bin --recall_at 10 --result_path temp --gt_file data/l2_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 -L 100 32
-json_time $BASE_PATH/search_memory_index --data_type float --dist_fn fast_l2 --index_path_prefix data/index_l2_rand_float_768D_1M_norm1.0 --query_file data/rand_float_768D_10K_norm1.0.bin --recall_at 10 --result_path temp --gt_file data/l2_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 -L 100 32
+INDEX_L2_PREFIX="data/index_l2_rand_${DATA_TYPE}_768D_1M_norm1.0"
+INDEX_MIPS_PREFIX="data/index_mips_rand_${DATA_TYPE}_768D_1M_norm1.0"
+INDEX_COSINE_PREFIX="data/index_cosine_rand_${DATA_TYPE}_768D_1M_norm1.0"
 
-json_time $BASE_PATH/build_memory_index --data_type float --dist_fn mips --data_path data/rand_float_768D_1M_norm1.0.bin --index_path_prefix data/index_mips_rand_float_768D_1M_norm1.0
-json_time $BASE_PATH/search_memory_index --data_type float --dist_fn mips --index_path_prefix data/index_l2_rand_float_768D_1M_norm1.0 --query_file data/rand_float_768D_10K_norm1.0.bin --recall_at 10 --result_path temp --gt_file data/mips_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 -L 100 32
+json_time $BASE_PATH/utils/rand_data_gen --data_type "$DATA_TYPE" --output_file "$BASE_FILE" -D 768 -N 1000000 --norm 1.0
+json_time $BASE_PATH/utils/rand_data_gen --data_type "$DATA_TYPE" --output_file "$QUERY_FILE" -D 768 -N 10000 --norm 1.0
 
-json_time $BASE_PATH/build_memory_index --data_type float --dist_fn cosine --data_path data/rand_float_768D_1M_norm1.0.bin --index_path_prefix data/index_cosine_rand_float_768D_1M_norm1.0
-json_time $BASE_PATH/search_memory_index --data_type float --dist_fn cosine --index_path_prefix data/index_l2_rand_float_768D_1M_norm1.0 --query_file data/rand_float_768D_10K_norm1.0.bin --recall_at 10 --result_path temp --gt_file data/cosine_rand_float_768D_1M_norm1.0_768D_10K_norm1.0_gt100 -L 100 32
+json_time $BASE_PATH/utils/compute_groundtruth --data_type "$DATA_TYPE" --dist_fn l2 --base_file "$BASE_FILE" --query_file "$QUERY_FILE" --gt_file "$GT_L2_FILE" --K 100
+json_time $BASE_PATH/utils/compute_groundtruth --data_type "$DATA_TYPE" --dist_fn mips --base_file "$BASE_FILE" --query_file "$QUERY_FILE" --gt_file "$GT_MIPS_FILE" --K 100
+json_time $BASE_PATH/utils/compute_groundtruth --data_type "$DATA_TYPE" --dist_fn cosine --base_file "$BASE_FILE" --query_file "$QUERY_FILE" --gt_file "$GT_COSINE_FILE" --K 100
+
+if [[ "$PERF_MODE" == "memory" || "$PERF_MODE" == "both" ]]; then
+  json_time $BASE_PATH/build_memory_index --data_type "$DATA_TYPE" --dist_fn l2 --data_path "$BASE_FILE" --index_path_prefix "$INDEX_L2_PREFIX"
+  json_time $BASE_PATH/search_memory_index --data_type "$DATA_TYPE" --dist_fn l2 --index_path_prefix "$INDEX_L2_PREFIX" --query_file "$QUERY_FILE" --recall_at 10 --result_path temp --gt_file "$GT_L2_FILE" -L 100 32
+  if [[ "$DATA_TYPE" == "float" ]]; then
+    json_time $BASE_PATH/search_memory_index --data_type "$DATA_TYPE" --dist_fn fast_l2 --index_path_prefix "$INDEX_L2_PREFIX" --query_file "$QUERY_FILE" --recall_at 10 --result_path temp --gt_file "$GT_L2_FILE" -L 100 32
+  fi
+
+  json_time $BASE_PATH/build_memory_index --data_type "$DATA_TYPE" --dist_fn mips --data_path "$BASE_FILE" --index_path_prefix "$INDEX_MIPS_PREFIX"
+  json_time $BASE_PATH/search_memory_index --data_type "$DATA_TYPE" --dist_fn mips --index_path_prefix "$INDEX_L2_PREFIX" --query_file "$QUERY_FILE" --recall_at 10 --result_path temp --gt_file "$GT_MIPS_FILE" -L 100 32
+
+  json_time $BASE_PATH/build_memory_index --data_type "$DATA_TYPE" --dist_fn cosine --data_path "$BASE_FILE" --index_path_prefix "$INDEX_COSINE_PREFIX"
+  json_time $BASE_PATH/search_memory_index --data_type "$DATA_TYPE" --dist_fn cosine --index_path_prefix "$INDEX_L2_PREFIX" --query_file "$QUERY_FILE" --recall_at 10 --result_path temp --gt_file "$GT_COSINE_FILE" -L 100 32
+fi
+
+# Optional SSD/disk index perf (mixed RAM+SSD).
+# Note: build_disk_index/search_disk_index do not support bf16 currently.
+if [[ "$PERF_MODE" == "disk" || "$PERF_MODE" == "both" ]]; then
+  if [[ "$DATA_TYPE" != "float" ]]; then
+    echo "PERF_MODE includes disk but DATA_TYPE='$DATA_TYPE' is not supported for disk index; skipping disk tests."
+  else
+    DISK_R=${DISK_R:-32}
+    DISK_LBUILD=${DISK_LBUILD:-50}
+    DISK_SEARCH_DRAM_BUDGET_GB=${DISK_SEARCH_DRAM_BUDGET_GB:-0.5}
+    DISK_BUILD_DRAM_BUDGET_GB=${DISK_BUILD_DRAM_BUDGET_GB:-8}
+    DISK_PQ_DISK_BYTES=${DISK_PQ_DISK_BYTES:-0}
+    DISK_BUILD_PQ_BYTES=${DISK_BUILD_PQ_BYTES:-0}
+    DISK_NUM_NODES_TO_CACHE=${DISK_NUM_NODES_TO_CACHE:-10000}
+    DISK_BEAMWIDTH=${DISK_BEAMWIDTH:-2}
+    DISK_RECALL_AT=${DISK_RECALL_AT:-10}
+    DISK_SEARCH_LISTS=${DISK_SEARCH_LISTS:-"10 20 30 40 50 100"}
+
+    DISK_INDEX_L2_PREFIX="data/disk_index_l2_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+    DISK_INDEX_MIPS_PREFIX="data/disk_index_mips_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+    DISK_INDEX_COSINE_PREFIX="data/disk_index_cosine_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_L2_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --index_path_prefix "$DISK_INDEX_L2_PREFIX" --query_file "$QUERY_FILE" --gt_file "$GT_L2_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_l2" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn mips --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_MIPS_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn mips --index_path_prefix "$DISK_INDEX_MIPS_PREFIX" --query_file "$QUERY_FILE" --gt_file "$GT_MIPS_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_mips" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_COSINE_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --index_path_prefix "$DISK_INDEX_COSINE_PREFIX" --query_file "$QUERY_FILE" --gt_file "$GT_COSINE_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_cosine" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+  fi
+fi
 
diff --git a/src/distance.cpp b/src/distance.cpp
index 78109e308..50f52b3b4 100644
--- a/src/distance.cpp
+++ b/src/distance.cpp
@@ -58,6 +58,9 @@ float DistanceCosineBFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint
     }
 
     float magA = 0.0f, magB = 0.0f, scalarProduct = 0.0f;
+#ifndef _WINDOWS
+#pragma omp simd reduction(+ : magA, magB, scalarProduct) aligned(a, b : 8)
+#endif
     for (uint32_t i = 0; i < length; i++)
     {
         const float da = a[i].to_float();
@@ -77,6 +80,9 @@ float DistanceInnerProductBFloat16::compare(const bfloat16 *a, const bfloat16 *b
     }
 
     float dot = 0.0f;
+#ifndef _WINDOWS
+#pragma omp simd reduction(+ : dot) aligned(a, b : 8)
+#endif
     for (uint32_t i = 0; i < length; i++)
     {
         dot += a[i].to_float() * b[i].to_float();

From b160791f6175eb4ad6820d76739ab83aa52960d5 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Sun, 4 Jan 2026 12:19:50 +0800
Subject: [PATCH 03/13] add bf16 support for SSD

---
 _smoke_bf16_fullprec_disk/base.bin            | Bin 0 -> 128008 bytes
 _smoke_bf16_fullprec_disk/gt                  | Bin 0 -> 8008 bytes
 _smoke_bf16_fullprec_disk/index_disk.index    | Bin 0 -> 270336 bytes
 .../index_pq_compressed.bin                   | Bin 0 -> 64008 bytes
 _smoke_bf16_fullprec_disk/index_pq_pivots.bin | Bin 0 -> 37148 bytes
 .../index_sample_data.bin                     | Bin 0 -> 13960 bytes
 .../index_sample_ids.bin                      | Bin 0 -> 880 bytes
 _smoke_bf16_fullprec_disk/query.bin           | Bin 0 -> 6408 bytes
 .../res_50_dists_float.bin                    | Bin 0 -> 4008 bytes
 .../res_50_idx_uint32.bin                     | Bin 0 -> 4008 bytes
 _smoke_bf16_ssd/base.bin                      | Bin 0 -> 128008 bytes
 _smoke_bf16_ssd/gt                            | Bin 0 -> 8008 bytes
 _smoke_bf16_ssd/index_disk.index              | Bin 0 -> 290816 bytes
 .../index_disk.index_pq_pivots.bin            | Bin 0 -> 37052 bytes
 _smoke_bf16_ssd/index_pq_compressed.bin       | Bin 0 -> 64008 bytes
 _smoke_bf16_ssd/index_pq_pivots.bin           | Bin 0 -> 37148 bytes
 _smoke_bf16_ssd/index_sample_data.bin         | Bin 0 -> 13128 bytes
 _smoke_bf16_ssd/index_sample_ids.bin          | Bin 0 -> 828 bytes
 _smoke_bf16_ssd/query.bin                     | Bin 0 -> 6408 bytes
 _smoke_bf16_ssd/res2_50_dists_float.bin       | Bin 0 -> 4008 bytes
 _smoke_bf16_ssd/res2_50_idx_uint32.bin        | Bin 0 -> 4008 bytes
 _smoke_bf16_ssd/res_50_dists_float.bin        | Bin 0 -> 4008 bytes
 _smoke_bf16_ssd/res_50_idx_uint32.bin         | Bin 0 -> 4008 bytes
 apps/build_disk_index.cpp                     |  72 +++++++-
 apps/search_disk_index.cpp                    |  86 ++++++++-
 apps/search_memory_index.cpp                  |  18 +-
 include/bfloat16.h                            |  19 ++
 include/disk_utils.h                          |   7 +
 include/pq_flash_index.h                      |   1 +
 include/utils.h                               |  77 +++++++-
 scripts/consistency/.gitignore                |  14 ++
 scripts/consistency/README.md                 | 127 +++++++++++++
 scripts/consistency/analyze_results.py        | 174 ++++++++++++++++++
 scripts/consistency/bin_convert.py            |  93 ++++++++++
 scripts/consistency/run_consistency.sh        | 113 ++++++++++++
 scripts/perf/README.md                        |  45 ++++-
 scripts/perf/perf_test.sh                     |  50 +++--
 src/abstract_index.cpp                        |  19 ++
 src/disk_utils.cpp                            |  77 ++++++--
 src/index_factory.cpp                         |  27 +--
 src/partition.cpp                             |  15 +-
 src/pq.cpp                                    |  12 ++
 src/pq_data_store.cpp                         |   2 +
 src/pq_flash_index.cpp                        |  28 ++-
 src/pq_l2_distance.cpp                        |   2 +
 45 files changed, 1005 insertions(+), 73 deletions(-)
 create mode 100644 _smoke_bf16_fullprec_disk/base.bin
 create mode 100644 _smoke_bf16_fullprec_disk/gt
 create mode 100644 _smoke_bf16_fullprec_disk/index_disk.index
 create mode 100644 _smoke_bf16_fullprec_disk/index_pq_compressed.bin
 create mode 100644 _smoke_bf16_fullprec_disk/index_pq_pivots.bin
 create mode 100644 _smoke_bf16_fullprec_disk/index_sample_data.bin
 create mode 100644 _smoke_bf16_fullprec_disk/index_sample_ids.bin
 create mode 100644 _smoke_bf16_fullprec_disk/query.bin
 create mode 100644 _smoke_bf16_fullprec_disk/res_50_dists_float.bin
 create mode 100644 _smoke_bf16_fullprec_disk/res_50_idx_uint32.bin
 create mode 100644 _smoke_bf16_ssd/base.bin
 create mode 100644 _smoke_bf16_ssd/gt
 create mode 100644 _smoke_bf16_ssd/index_disk.index
 create mode 100644 _smoke_bf16_ssd/index_disk.index_pq_pivots.bin
 create mode 100644 _smoke_bf16_ssd/index_pq_compressed.bin
 create mode 100644 _smoke_bf16_ssd/index_pq_pivots.bin
 create mode 100644 _smoke_bf16_ssd/index_sample_data.bin
 create mode 100644 _smoke_bf16_ssd/index_sample_ids.bin
 create mode 100644 _smoke_bf16_ssd/query.bin
 create mode 100644 _smoke_bf16_ssd/res2_50_dists_float.bin
 create mode 100644 _smoke_bf16_ssd/res2_50_idx_uint32.bin
 create mode 100644 _smoke_bf16_ssd/res_50_dists_float.bin
 create mode 100644 _smoke_bf16_ssd/res_50_idx_uint32.bin
 create mode 100644 scripts/consistency/.gitignore
 create mode 100644 scripts/consistency/README.md
 create mode 100755 scripts/consistency/analyze_results.py
 create mode 100755 scripts/consistency/bin_convert.py
 create mode 100755 scripts/consistency/run_consistency.sh

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diff --git a/_smoke_bf16_fullprec_disk/gt b/_smoke_bf16_fullprec_disk/gt
new file mode 100644
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diff --git a/_smoke_bf16_fullprec_disk/index_disk.index b/_smoke_bf16_fullprec_disk/index_disk.index
new file mode 100644
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diff --git a/_smoke_bf16_fullprec_disk/index_pq_compressed.bin b/_smoke_bf16_fullprec_disk/index_pq_compressed.bin
new file mode 100644
index 0000000000000000000000000000000000000000..c9fec202cc01ecb8b65f94e7a407583993b0a789
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diff --git a/_smoke_bf16_fullprec_disk/index_pq_pivots.bin b/_smoke_bf16_fullprec_disk/index_pq_pivots.bin
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diff --git a/_smoke_bf16_fullprec_disk/index_sample_data.bin b/_smoke_bf16_fullprec_disk/index_sample_data.bin
new file mode 100644
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diff --git a/_smoke_bf16_fullprec_disk/res_50_dists_float.bin b/_smoke_bf16_fullprec_disk/res_50_dists_float.bin
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new file mode 100644
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GIT binary patch
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diff --git a/_smoke_bf16_ssd/gt b/_smoke_bf16_ssd/gt
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diff --git a/_smoke_bf16_ssd/index_disk.index_pq_pivots.bin b/_smoke_bf16_ssd/index_disk.index_pq_pivots.bin
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diff --git a/_smoke_bf16_ssd/index_pq_compressed.bin b/_smoke_bf16_ssd/index_pq_compressed.bin
new file mode 100644
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new file mode 100644
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diff --git a/_smoke_bf16_ssd/query.bin b/_smoke_bf16_ssd/query.bin
new file mode 100644
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diff --git a/_smoke_bf16_ssd/res2_50_idx_uint32.bin b/_smoke_bf16_ssd/res2_50_idx_uint32.bin
new file mode 100644
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GIT binary patch
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new file mode 100644
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HcmV?d00001

diff --git a/_smoke_bf16_ssd/res_50_idx_uint32.bin b/_smoke_bf16_ssd/res_50_idx_uint32.bin
new file mode 100644
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GIT binary patch
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diff --git a/apps/build_disk_index.cpp b/apps/build_disk_index.cpp
index f48b61726..95c4bc15c 100644
--- a/apps/build_disk_index.cpp
+++ b/apps/build_disk_index.cpp
@@ -10,9 +10,63 @@
 #include "index.h"
 #include "partition.h"
 #include "program_options_utils.hpp"
+#include "bfloat16.h"
 
 namespace po = boost::program_options;
 
+static int convert_bf16_bin_to_f32_bin(const std::string &bf16_path, const std::string &f32_path)
+{
+    std::ifstream reader(bf16_path, std::ios::binary);
+    if (!reader)
+    {
+        diskann::cerr << "Error: could not open input file " << bf16_path << std::endl;
+        return -1;
+    }
+    std::ofstream writer(f32_path, std::ios::binary);
+    if (!writer)
+    {
+        diskann::cerr << "Error: could not open output file " << f32_path << std::endl;
+        return -1;
+    }
+
+    uint32_t npts = 0, dim = 0;
+    reader.read(reinterpret_cast<char *>(&npts), sizeof(uint32_t));
+    reader.read(reinterpret_cast<char *>(&dim), sizeof(uint32_t));
+    if (!reader)
+    {
+        diskann::cerr << "Error: failed to read header from " << bf16_path << std::endl;
+        return -1;
+    }
+    writer.write(reinterpret_cast<const char *>(&npts), sizeof(uint32_t));
+    writer.write(reinterpret_cast<const char *>(&dim), sizeof(uint32_t));
+
+    constexpr size_t kBlockElems = 1u << 20; // 1M elements (~2MB bf16, ~4MB float)
+    std::vector<diskann::bfloat16> in_buf;
+    std::vector<float> out_buf;
+    in_buf.resize(kBlockElems);
+    out_buf.resize(kBlockElems);
+
+    const uint64_t total_elems = static_cast<uint64_t>(npts) * static_cast<uint64_t>(dim);
+    uint64_t done = 0;
+    while (done < total_elems)
+    {
+        const size_t this_block = static_cast<size_t>(std::min<uint64_t>(kBlockElems, total_elems - done));
+        reader.read(reinterpret_cast<char *>(in_buf.data()), this_block * sizeof(diskann::bfloat16));
+        if (!reader)
+        {
+            diskann::cerr << "Error: failed reading bf16 payload from " << bf16_path << std::endl;
+            return -1;
+        }
+        for (size_t i = 0; i < this_block; i++)
+        {
+            out_buf[i] = static_cast<float>(in_buf[i]);
+        }
+        writer.write(reinterpret_cast<const char *>(out_buf.data()), this_block * sizeof(float));
+        done += this_block;
+    }
+    return 0;
+}
+
 int main(int argc, char **argv)
 {
     std::string data_type, dist_fn, data_path, index_path_prefix, codebook_prefix, label_file, universal_label,
@@ -124,10 +178,11 @@ int main(int argc, char **argv)
                       << std::endl;
             return -1;
         }
-        if (data_type != std::string("float"))
+        if (data_type != std::string("float") && data_type != std::string("bf16") &&
+            data_type != std::string("bfloat16"))
         {
             std::cout << "Error: Appending data for reordering currently only "
-                         "supported for float data type."
+                         "supported for float/bf16 data type."
                       << std::endl;
             return -1;
         }
@@ -155,6 +210,12 @@ int main(int argc, char **argv)
                 return diskann::build_disk_index<float, uint16_t>(
                     data_path.c_str(), index_path_prefix.c_str(), params.c_str(), metric, use_opq, codebook_prefix,
                     use_filters, label_file, universal_label, filter_threshold, Lf);
+            else if (data_type == std::string("bf16") || data_type == std::string("bfloat16"))
+            {
+                return diskann::build_disk_index<diskann::bfloat16, uint16_t>(
+                    data_path.c_str(), index_path_prefix.c_str(), params.c_str(), metric, use_opq, codebook_prefix,
+                    use_filters, label_file, universal_label, filter_threshold, Lf);
+            }
             else
             {
                 diskann::cerr << "Error. Unsupported data type" << std::endl;
@@ -175,6 +236,13 @@ int main(int argc, char **argv)
                 return diskann::build_disk_index<float>(data_path.c_str(), index_path_prefix.c_str(), params.c_str(),
                                                         metric, use_opq, codebook_prefix, use_filters, label_file,
                                                         universal_label, filter_threshold, Lf);
+            else if (data_type == std::string("bf16") || data_type == std::string("bfloat16"))
+            {
+                return diskann::build_disk_index<diskann::bfloat16>(data_path.c_str(), index_path_prefix.c_str(),
+                                                                    params.c_str(), metric, use_opq, codebook_prefix,
+                                                                    use_filters, label_file, universal_label,
+                                                                    filter_threshold, Lf);
+            }
             else
             {
                 diskann::cerr << "Error. Unsupported data type" << std::endl;
diff --git a/apps/search_disk_index.cpp b/apps/search_disk_index.cpp
index 6b0793db7..25a25610f 100644
--- a/apps/search_disk_index.cpp
+++ b/apps/search_disk_index.cpp
@@ -13,6 +13,7 @@
 #include "timer.h"
 #include "percentile_stats.h"
 #include "program_options_utils.hpp"
+#include "bfloat16.h"
 
 #ifndef _WINDOWS
 #include <sys/mman.h>
@@ -31,6 +32,57 @@
 
 namespace po = boost::program_options;
 
+static int convert_bf16_bin_to_f32_bin(const std::string &bf16_path, const std::string &f32_path)
+{
+    std::ifstream reader(bf16_path, std::ios::binary);
+    if (!reader)
+    {
+        diskann::cerr << "Error: could not open input file " << bf16_path << std::endl;
+        return -1;
+    }
+    std::ofstream writer(f32_path, std::ios::binary);
+    if (!writer)
+    {
+        diskann::cerr << "Error: could not open output file " << f32_path << std::endl;
+        return -1;
+    }
+
+    uint32_t npts = 0, dim = 0;
+    reader.read(reinterpret_cast<char *>(&npts), sizeof(uint32_t));
+    reader.read(reinterpret_cast<char *>(&dim), sizeof(uint32_t));
+    if (!reader)
+    {
+        diskann::cerr << "Error: failed to read header from " << bf16_path << std::endl;
+        return -1;
+    }
+    writer.write(reinterpret_cast<const char *>(&npts), sizeof(uint32_t));
+    writer.write(reinterpret_cast<const char *>(&dim), sizeof(uint32_t));
+
+    constexpr size_t kBlockElems = 1u << 20;
+    std::vector<diskann::bfloat16> in_buf(kBlockElems);
+    std::vector<float> out_buf(kBlockElems);
+
+    const uint64_t total_elems = static_cast<uint64_t>(npts) * static_cast<uint64_t>(dim);
+    uint64_t done = 0;
+    while (done < total_elems)
+    {
+        const size_t this_block = static_cast<size_t>(std::min<uint64_t>(kBlockElems, total_elems - done));
+        reader.read(reinterpret_cast<char *>(in_buf.data()), this_block * sizeof(diskann::bfloat16));
+        if (!reader)
+        {
+            diskann::cerr << "Error: failed reading bf16 payload from " << bf16_path << std::endl;
+            return -1;
+        }
+        for (size_t i = 0; i < this_block; i++)
+        {
+            out_buf[i] = static_cast<float>(in_buf[i]);
+        }
+        writer.write(reinterpret_cast<const char *>(out_buf.data()), this_block * sizeof(float));
+        done += this_block;
+    }
+    return 0;
+}
+
 void print_stats(std::string category, std::vector<float> percentiles, std::vector<float> results)
 {
     diskann::cout << std::setw(20) << category << ": " << std::flush;
@@ -155,7 +207,15 @@ int search_disk_index(diskann::Metric &metric, const std::string &index_path_pre
             {
                 for (uint32_t d = 0; d < warmup_dim; d++)
                 {
-                    warmup[i * warmup_aligned_dim + d] = (T)dis(gen);
+                    const auto sample = dis(gen);
+                    if constexpr (std::is_same_v<T, diskann::bfloat16>)
+                    {
+                        warmup[i * warmup_aligned_dim + d] = T(static_cast<float>(sample));
+                    }
+                    else
+                    {
+                        warmup[i * warmup_aligned_dim + d] = static_cast<T>(sample);
+                    }
                 }
             }
         }
@@ -396,6 +456,8 @@ int main(int argc, char **argv)
         return -1;
     }
 
+    const bool is_bf16 = (data_type == std::string("bf16") || data_type == std::string("bfloat16"));
+
     diskann::Metric metric;
     if (dist_fn == std::string("mips"))
     {
@@ -417,16 +479,16 @@ int main(int argc, char **argv)
         return -1;
     }
 
-    if ((data_type != std::string("float")) && (metric == diskann::Metric::INNER_PRODUCT))
+    if ((data_type != std::string("float")) && !is_bf16 && (metric == diskann::Metric::INNER_PRODUCT))
     {
         std::cout << "Currently support only floating point data for Inner Product." << std::endl;
         return -1;
     }
 
-    if (use_reorder_data && data_type != std::string("float"))
+    if (use_reorder_data && data_type != std::string("float") && !is_bf16)
     {
         std::cout << "Error: Reorder data for reordering currently only "
-                     "supported for float data type."
+                     "supported for float/bf16 data type."
                   << std::endl;
         return -1;
     }
@@ -452,7 +514,12 @@ int main(int argc, char **argv)
         if (!query_filters.empty() && label_type == "ushort")
         {
             if (data_type == std::string("float"))
-                return search_disk_index<float, uint16_t>(
+                return search_disk_index<float, uint16_t>(metric, index_path_prefix, result_path_prefix, query_file,
+                                                          gt_file, num_threads, K, W, num_nodes_to_cache,
+                                                          search_io_limit, Lvec, fail_if_recall_below, query_filters,
+                                                          use_reorder_data);
+            else if (is_bf16)
+                return search_disk_index<diskann::bfloat16, uint16_t>(
                     metric, index_path_prefix, result_path_prefix, query_file, gt_file, num_threads, K, W,
                     num_nodes_to_cache, search_io_limit, Lvec, fail_if_recall_below, query_filters, use_reorder_data);
             else if (data_type == std::string("int8"))
@@ -465,7 +532,7 @@ int main(int argc, char **argv)
                     num_nodes_to_cache, search_io_limit, Lvec, fail_if_recall_below, query_filters, use_reorder_data);
             else
             {
-                std::cerr << "Unsupported data type. Use float or int8 or uint8" << std::endl;
+                std::cerr << "Unsupported data type. Use float, bf16, int8 or uint8" << std::endl;
                 return -1;
             }
         }
@@ -475,6 +542,11 @@ int main(int argc, char **argv)
                 return search_disk_index<float>(metric, index_path_prefix, result_path_prefix, query_file, gt_file,
                                                 num_threads, K, W, num_nodes_to_cache, search_io_limit, Lvec,
                                                 fail_if_recall_below, query_filters, use_reorder_data);
+            else if (is_bf16)
+                return search_disk_index<diskann::bfloat16>(metric, index_path_prefix, result_path_prefix, query_file,
+                                                            gt_file, num_threads, K, W, num_nodes_to_cache,
+                                                            search_io_limit, Lvec, fail_if_recall_below, query_filters,
+                                                            use_reorder_data);
             else if (data_type == std::string("int8"))
                 return search_disk_index<int8_t>(metric, index_path_prefix, result_path_prefix, query_file, gt_file,
                                                  num_threads, K, W, num_nodes_to_cache, search_io_limit, Lvec,
@@ -485,7 +557,7 @@ int main(int argc, char **argv)
                                                   fail_if_recall_below, query_filters, use_reorder_data);
             else
             {
-                std::cerr << "Unsupported data type. Use float or int8 or uint8" << std::endl;
+                std::cerr << "Unsupported data type. Use float, bf16, int8 or uint8" << std::endl;
                 return -1;
             }
         }
diff --git a/apps/search_memory_index.cpp b/apps/search_memory_index.cpp
index 1a9acc285..c3fabda68 100644
--- a/apps/search_memory_index.cpp
+++ b/apps/search_memory_index.cpp
@@ -22,6 +22,7 @@
 #include "utils.h"
 #include "program_options_utils.hpp"
 #include "index_factory.h"
+#include "bfloat16.h"
 
 namespace po = boost::program_options;
 
@@ -435,9 +436,15 @@ int main(int argc, char **argv)
                                                             num_threads, K, print_all_recalls, Lvec, dynamic, tags,
                                                             show_qps_per_thread, query_filters, fail_if_recall_below);
             }
+            else if (data_type == std::string("bf16") || data_type == std::string("bfloat16"))
+            {
+                return search_memory_index<diskann::bfloat16, uint16_t>(
+                    metric, index_path_prefix, result_path, query_file, gt_file, num_threads, K, print_all_recalls,
+                    Lvec, dynamic, tags, show_qps_per_thread, query_filters, fail_if_recall_below);
+            }
             else
             {
-                std::cout << "Unsupported type. Use float/int8/uint8" << std::endl;
+                std::cout << "Unsupported type. Use float/bf16/int8/uint8" << std::endl;
                 return -1;
             }
         }
@@ -461,9 +468,16 @@ int main(int argc, char **argv)
                                                   num_threads, K, print_all_recalls, Lvec, dynamic, tags,
                                                   show_qps_per_thread, query_filters, fail_if_recall_below);
             }
+            else if (data_type == std::string("bf16") || data_type == std::string("bfloat16"))
+            {
+                return search_memory_index<diskann::bfloat16>(metric, index_path_prefix, result_path, query_file,
+                                                             gt_file, num_threads, K, print_all_recalls, Lvec,
+                                                             dynamic, tags, show_qps_per_thread, query_filters,
+                                                             fail_if_recall_below);
+            }
             else
             {
-                std::cout << "Unsupported type. Use float/int8/uint8" << std::endl;
+                std::cout << "Unsupported type. Use float/bf16/int8/uint8" << std::endl;
                 return -1;
             }
         }
diff --git a/include/bfloat16.h b/include/bfloat16.h
index 7dcfd407f..22b398a7d 100644
--- a/include/bfloat16.h
+++ b/include/bfloat16.h
@@ -2,6 +2,7 @@
 
 #include <cstdint>
 #include <cstring>
+#include <type_traits>
 
 namespace diskann
 {
@@ -16,6 +17,12 @@ struct bfloat16
     {
     }
 
+    // Convenience constructor for generic code that does bfloat16(f).
+    explicit bfloat16(float f) : value(from_float(f).value) {}
+
+    // Convenience constructor for generic code that does static_cast<bfloat16>(double_expr).
+    explicit bfloat16(double f) : value(from_float(static_cast<float>(f)).value) {}
+
     static inline bfloat16 from_float(float f)
     {
         uint32_t bits = 0;
@@ -41,4 +48,16 @@ struct bfloat16
     }
 };
 
+// bfloat16 is not a built-in floating point type, but for most DiskANN code
+// paths it should be treated as "floating-point-like".
+template <typename T> struct is_floating_point_like : std::is_floating_point<T>
+{
+};
+
+template <> struct is_floating_point_like<diskann::bfloat16> : std::true_type
+{
+};
+
+template <typename T> inline constexpr bool is_floating_point_like_v = is_floating_point_like<T>::value;
+
 } // namespace diskann
diff --git a/include/disk_utils.h b/include/disk_utils.h
index 08f046dcd..7ef0eb888 100644
--- a/include/disk_utils.h
+++ b/include/disk_utils.h
@@ -105,4 +105,11 @@ DISKANN_DLLEXPORT void create_disk_layout(const std::string base_file, const std
                                           const std::string output_file,
                                           const std::string reorder_data_file = std::string(""));
 
+// Store the graph/base payload as T, and (optionally) append reorder vectors stored as ReorderT.
+// This is primarily used to support bf16 reorder vectors on SSD.
+template <typename T, typename ReorderT>
+DISKANN_DLLEXPORT void create_disk_layout(const std::string base_file, const std::string mem_index_file,
+                                          const std::string output_file,
+                                          const std::string reorder_data_file = std::string(""));
+
 } // namespace diskann
diff --git a/include/pq_flash_index.h b/include/pq_flash_index.h
index ba5258e18..2633f3b11 100644
--- a/include/pq_flash_index.h
+++ b/include/pq_flash_index.h
@@ -157,6 +157,7 @@ template <typename T, typename LabelT = uint32_t> class PQFlashIndex
     uint64_t _ndims_reorder_vecs = 0;
     uint64_t _reorder_data_start_sector = 0;
     uint64_t _nvecs_per_sector = 0;
+    uint64_t _reorder_bytes_per_element = sizeof(float);
 
     diskann::Metric metric = diskann::Metric::L2;
 
diff --git a/include/utils.h b/include/utils.h
index 35256c1a5..201981ea2 100644
--- a/include/utils.h
+++ b/include/utils.h
@@ -869,10 +869,12 @@ template <typename T> float prepare_base_for_inner_products(const std::string in
 
     size_t BLOCK_SIZE = 100000;
     size_t block_size = npts <= BLOCK_SIZE ? npts : BLOCK_SIZE;
+    using OutT = std::conditional_t<std::is_same<T, diskann::bfloat16>::value, diskann::bfloat16, float>;
+
     std::unique_ptr<T[]> in_block_data = std::make_unique<T[]>(block_size * in_dims);
-    std::unique_ptr<float[]> out_block_data = std::make_unique<float[]>(block_size * out_dims);
+    std::unique_ptr<OutT[]> out_block_data = std::make_unique<OutT[]>(block_size * out_dims);
 
-    std::memset(out_block_data.get(), 0, sizeof(float) * block_size * out_dims);
+    std::memset(out_block_data.get(), 0, sizeof(OutT) * block_size * out_dims);
     uint64_t num_blocks = DIV_ROUND_UP(npts, block_size);
 
     std::vector<float> norms(npts, 0);
@@ -906,18 +908,83 @@ template <typename T> float prepare_base_for_inner_products(const std::string in
         {
             for (uint64_t j = 0; j < in_dims; j++)
             {
-                out_block_data[p * out_dims + j] = in_block_data[p * in_dims + j] / max_norm;
+                out_block_data[p * out_dims + j] = (OutT)((float)in_block_data[p * in_dims + j] / max_norm);
             }
             float res = 1 - (norms[start_id + p] / (max_norm * max_norm));
             res = res <= 0 ? 0 : std::sqrt(res);
-            out_block_data[p * out_dims + out_dims - 1] = res;
+            out_block_data[p * out_dims + out_dims - 1] = (OutT)res;
         }
-        out_writer.write((char *)out_block_data.get(), block_pts * out_dims * sizeof(float));
+        out_writer.write((char *)out_block_data.get(), block_pts * out_dims * sizeof(OutT));
     }
     out_writer.close();
     return max_norm;
 }
 
+// Normalize vectors (for cosine) while preserving element type.
+// - For float: writes float payload
+// - For bfloat16: writes bfloat16 payload
+template <typename T> void normalize_data_file_typed(const std::string &inFileName, const std::string &outFileName)
+{
+    std::ifstream readr(inFileName, std::ios::binary);
+    std::ofstream writr(outFileName, std::ios::binary);
+
+    uint32_t npts_u32 = 0, ndims_u32 = 0;
+    readr.read((char *)&npts_u32, sizeof(uint32_t));
+    readr.read((char *)&ndims_u32, sizeof(uint32_t));
+    if (!readr)
+    {
+        throw diskann::ANNException("Failed to read header from " + inFileName, -1, __FUNCSIG__, __FILE__, __LINE__);
+    }
+
+    writr.write((char *)&npts_u32, sizeof(uint32_t));
+    writr.write((char *)&ndims_u32, sizeof(uint32_t));
+
+    const uint64_t npts = npts_u32;
+    const uint64_t ndims = ndims_u32;
+
+    const uint64_t BLOCK_SIZE = 131072;
+    const uint64_t block_size = npts <= BLOCK_SIZE ? npts : BLOCK_SIZE;
+    const uint64_t num_blocks = DIV_ROUND_UP(npts, block_size);
+
+    std::unique_ptr<T[]> buf = std::make_unique<T[]>(block_size * ndims);
+
+    for (uint64_t b = 0; b < num_blocks; b++)
+    {
+        const uint64_t start_id = b * block_size;
+        const uint64_t end_id = ((b + 1) * block_size < npts) ? ((b + 1) * block_size) : npts;
+        const uint64_t block_pts = end_id - start_id;
+
+        readr.read((char *)buf.get(), block_pts * ndims * sizeof(T));
+        if (!readr)
+        {
+            throw diskann::ANNException("Failed to read payload from " + inFileName, -1, __FUNCSIG__, __FILE__, __LINE__);
+        }
+
+#pragma omp parallel for schedule(static, 1024)
+        for (int64_t i = 0; i < (int64_t)block_pts; i++)
+        {
+            float norm_pt = std::numeric_limits<float>::epsilon();
+            const uint64_t base = (uint64_t)i * ndims;
+            for (uint64_t d = 0; d < ndims; d++)
+            {
+                const float v = (float)buf[base + d];
+                norm_pt += v * v;
+            }
+            norm_pt = std::sqrt(norm_pt);
+            for (uint64_t d = 0; d < ndims; d++)
+            {
+                buf[base + d] = (T)((float)buf[base + d] / norm_pt);
+            }
+        }
+
+        writr.write((char *)buf.get(), block_pts * ndims * sizeof(T));
+        if (!writr)
+        {
+            throw diskann::ANNException("Failed to write payload to " + outFileName, -1, __FUNCSIG__, __FILE__, __LINE__);
+        }
+    }
+}
+
 // plain saves data as npts X ndims array into filename
 template <typename T> void save_Tvecs(const char *filename, T *data, size_t npts, size_t ndims)
 {
diff --git a/scripts/consistency/.gitignore b/scripts/consistency/.gitignore
new file mode 100644
index 000000000..8e68db421
--- /dev/null
+++ b/scripts/consistency/.gitignore
@@ -0,0 +1,14 @@
+# Consistency harness outputs (default OUT_DIR)
+_out/
+
+# Common temp outputs if OUT_DIR is set inside this folder
+out/
+output/
+outputs/
+
+# Python cache
+__pycache__/
+*.py[cod]
+
+# Editor/OS junk
+.DS_Store
diff --git a/scripts/consistency/README.md b/scripts/consistency/README.md
new file mode 100644
index 000000000..d7138b188
--- /dev/null
+++ b/scripts/consistency/README.md
@@ -0,0 +1,127 @@
+# Consistency / Precision Checks
+
+This folder contains a lightweight consistency harness to quantify **bf16 precision loss** relative to float32 for DiskANN.
+
+It runs the same dataset through:
+
+- float32 **memory** index vs bf16 **memory** index
+- float32 **disk** index vs bf16 **disk** index
+- float32 **disk-PQ + reorder** vs bf16 **disk-PQ + reorder** (true bf16 reorder vectors on SSD)
+
+and reports:
+
+- Recall@K against float32 ground truth
+- Top-1 ID match rate (bf16 vs float)
+- Distance absolute error for IDs common to both outputs
+
+## Quick start
+
+```bash
+# From repo root
+bash scripts/consistency/run_consistency.sh
+```
+
+Artifacts are written to `scripts/consistency/_out` by default.
+
+## What it runs
+
+The harness generates a small float32 dataset, converts it to bf16 (round-to-nearest-even), then runs:
+
+- **Memory**
+  - float: `build_memory_index` + `search_memory_index`
+  - bf16: `build_memory_index` + `search_memory_index`
+- **Disk (full-precision)**
+  - float: `build_disk_index` with `--PQ_disk_bytes 0` + `search_disk_index`
+  - bf16: `build_disk_index` with `--PQ_disk_bytes 0` + `search_disk_index`
+- **Disk (PQ + reorder)**
+  - float: `build_disk_index --PQ_disk_bytes $DISK_PQ_BYTES --append_reorder_data` + `search_disk_index --use_reorder_data`
+  - bf16: `build_disk_index --PQ_disk_bytes $DISK_PQ_BYTES --append_reorder_data` + `search_disk_index --use_reorder_data`
+
+Ground truth is computed from the **float32** dataset using exact L2.
+
+## How to run
+
+### Default (recommended)
+
+```bash
+bash scripts/consistency/run_consistency.sh
+```
+
+### Custom size / speed knobs
+
+Smaller + faster:
+
+```bash
+NPTS=2000 NQ=100 DIM=32 THREADS=4 bash scripts/consistency/run_consistency.sh
+```
+
+Bigger + more stable stats:
+
+```bash
+OUT_DIR=/tmp/diskann_consistency NPTS=20000 NQ=1000 DIM=128 K=10 MEM_L=100 DISK_L=100 bash scripts/consistency/run_consistency.sh
+```
+
+### Change disk-PQ compression
+
+```bash
+DISK_PQ_BYTES=16 bash scripts/consistency/run_consistency.sh
+```
+
+## Where outputs go
+
+Inside `$OUT_DIR` (default: `scripts/consistency/_out`):
+
+- `data/`
+  - `base_f32.bin`, `query_f32.bin`
+  - `base_bf16.bin`, `query_bf16.bin`
+  - `gt_l2` (or `gt_l2.bin` depending on build) — the truthset file
+- `results/`
+  - Index prefixes (used by the apps):
+    - `index_mem_f32*`, `index_mem_bf16*`
+    - `index_disk_f32_full*`, `index_disk_bf16_full*`
+    - `index_disk_f32_pq*`, `index_disk_bf16_pq*`
+  - Search outputs (these are what the analyzer reads):
+    - Memory: `mem_f32_${MEM_L}_idx_uint32.bin`, `mem_f32_${MEM_L}_dists_float.bin` and bf16 equivalents
+    - Disk: `disk_*_${DISK_L}_idx_uint32.bin`, `disk_*_${DISK_L}_dists_float.bin`
+
+## How to read the results
+
+At the end, the runner calls `scripts/consistency/analyze_results.py` and prints three blocks:
+
+- `== Memory ==`
+- `== Disk (full-precision) ==`
+- `== Disk (PQ + reorder) ==`
+
+Each block reports:
+
+- **Recall@K (float vs bf16)**
+  - Computed against the float32 ground truth (exact L2).
+  - The `delta` shows how much recall changes when switching to bf16.
+
+- **Top1 ID match rate (bf16 vs float)**
+  - For each query, whether the #1 result ID matches between bf16 and float outputs.
+  - Useful when Recall@K is similar but top-1 stability differs.
+
+- **Distance abs error on common IDs (mean / p99 / max)**
+  - Per query, only considers IDs that appear in *both* top-K lists (to avoid comparing unrelated candidates).
+  - Measures absolute distance differences between bf16 and float results.
+  - For normalized vectors, these values are usually small; if they get large, it may indicate bf16 quantization loss
+    (or a bug in bf16 IO / distance kernels).
+
+## Tuning (env vars)
+
+- `OUT_DIR` (default: `scripts/consistency/_out`)
+- `NPTS` (default: 5000), `NQ` (default: 200), `DIM` (default: 64)
+- `K` (default: 10)
+- `MEM_L` (default: 50), `DISK_L` (default: 50)
+- `THREADS` (default: 4)
+- Disk build/search knobs:
+  - `DISK_R` (default: 16)
+  - `DISK_LBUILD` (default: 50)
+  - `DISK_PQ_BYTES` (default: 8)
+
+## Notes / assumptions
+
+- This harness currently uses **L2** to isolate precision effects; cosine/mips can be added similarly if needed.
+- The bf16 dataset is generated by converting the float32 dataset, so any differences should come from bf16 rounding
+  and bf16 compute paths (not from a different random dataset).
diff --git a/scripts/consistency/analyze_results.py b/scripts/consistency/analyze_results.py
new file mode 100755
index 000000000..08bf22ca4
--- /dev/null
+++ b/scripts/consistency/analyze_results.py
@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+
+import argparse
+import math
+import struct
+from pathlib import Path
+from typing import List, Tuple
+
+
+def read_bin_u32_matrix(path: Path) -> Tuple[int, int, List[int]]:
+    with path.open("rb") as f:
+        header = f.read(8)
+        if len(header) != 8:
+            raise EOFError(f"{path}: missing header")
+        npts, ndims = struct.unpack("<II", header)
+        payload = f.read()
+    expected = 4 * npts * ndims
+    if len(payload) != expected:
+        raise EOFError(f"{path}: expected {expected} bytes, got {len(payload)}")
+    data = list(struct.unpack(f"<{npts*ndims}I", payload))
+    return npts, ndims, data
+
+
+def read_truthset_ids(path: Path) -> Tuple[int, int, List[int]]:
+    """Reads DiskANN compute_groundtruth output.
+
+    The truthset file format is:
+      u32 npts, u32 K,
+      u32 ids[npts*K],
+      f32 dists[npts*K]
+
+    Some builds may omit the dists section; this reader handles both.
+    """
+    with path.open("rb") as f:
+        header = f.read(8)
+        if len(header) != 8:
+            raise EOFError(f"{path}: missing header")
+        npts, k = struct.unpack("<II", header)
+
+        ids_bytes = f.read(4 * npts * k)
+        if len(ids_bytes) != 4 * npts * k:
+            raise EOFError(f"{path}: missing ids matrix")
+        ids = list(struct.unpack(f"<{npts*k}I", ids_bytes))
+        return npts, k, ids
+
+
+def read_bin_f32_matrix(path: Path) -> Tuple[int, int, List[float]]:
+    with path.open("rb") as f:
+        header = f.read(8)
+        if len(header) != 8:
+            raise EOFError(f"{path}: missing header")
+        npts, ndims = struct.unpack("<II", header)
+        payload = f.read()
+    expected = 4 * npts * ndims
+    if len(payload) != expected:
+        raise EOFError(f"{path}: expected {expected} bytes, got {len(payload)}")
+    data = list(struct.unpack(f"<{npts*ndims}f", payload))
+    return npts, ndims, data
+
+
+def recall_at_k(gt_ids: List[int], pred_ids: List[int], nq: int, k: int) -> float:
+    hit = 0
+    for qi in range(nq):
+        gt = set(gt_ids[qi * k : (qi + 1) * k])
+        pred = pred_ids[qi * k : (qi + 1) * k]
+        hit += sum(1 for x in pred if x in gt)
+    return hit / float(nq * k)
+
+
+def top1_match_rate(a_ids: List[int], b_ids: List[int], nq: int, k: int) -> float:
+    same = 0
+    for qi in range(nq):
+        if a_ids[qi * k] == b_ids[qi * k]:
+            same += 1
+    return same / float(nq)
+
+
+def distance_error_common_ids(
+    a_ids: List[int], a_dists: List[float], b_ids: List[int], b_dists: List[float], nq: int, k: int
+) -> Tuple[float, float, float]:
+    # Compare distance values only for IDs that appear in both top-k lists per query.
+    # Returns (mean_abs, p99_abs, max_abs) over all common-id pairs.
+    abs_errors: List[float] = []
+
+    for qi in range(nq):
+        a_map = {}
+        base = qi * k
+        for j in range(k):
+            a_map[a_ids[base + j]] = a_dists[base + j]
+
+        for j in range(k):
+            bid = b_ids[base + j]
+            if bid in a_map:
+                abs_errors.append(abs(float(b_dists[base + j]) - float(a_map[bid])))
+
+    if not abs_errors:
+        return math.nan, math.nan, math.nan
+
+    abs_errors.sort()
+    mean_abs = sum(abs_errors) / float(len(abs_errors))
+    p99_abs = abs_errors[int(0.99 * (len(abs_errors) - 1))]
+    max_abs = abs_errors[-1]
+    return mean_abs, p99_abs, max_abs
+
+
+def _paths_for_prefix(prefix: Path, L: int) -> Tuple[Path, Path]:
+    idx = Path(str(prefix) + f"_{L}_idx_uint32.bin")
+    dist = Path(str(prefix) + f"_{L}_dists_float.bin")
+    return idx, dist
+
+
+def compare_block(name: str, gt_path: Path, float_prefix: Path, bf16_prefix: Path, L: int, k: int) -> None:
+    gt_nq, gt_k, gt_ids = read_truthset_ids(gt_path)
+    if gt_k < k:
+        raise ValueError(f"GT K={gt_k} < requested K={k}")
+
+    f_idx_path, f_dist_path = _paths_for_prefix(float_prefix, L)
+    b_idx_path, b_dist_path = _paths_for_prefix(bf16_prefix, L)
+
+    fq, fk, f_ids = read_bin_u32_matrix(f_idx_path)
+    _, _, f_dists = read_bin_f32_matrix(f_dist_path)
+
+    bq, bk, b_ids = read_bin_u32_matrix(b_idx_path)
+    _, _, b_dists = read_bin_f32_matrix(b_dist_path)
+
+    if fq != gt_nq or bq != gt_nq:
+        raise ValueError(f"Query count mismatch: gt={gt_nq}, float={fq}, bf16={bq}")
+    if fk != k or bk != k:
+        raise ValueError(f"Result K mismatch: expected {k}, float={fk}, bf16={bk}")
+
+    r_float = recall_at_k(gt_ids[: gt_nq * k], f_ids, gt_nq, k)
+    r_bf16 = recall_at_k(gt_ids[: gt_nq * k], b_ids, gt_nq, k)
+    top1 = top1_match_rate(f_ids, b_ids, gt_nq, k)
+    mean_abs, p99_abs, max_abs = distance_error_common_ids(f_ids, f_dists, b_ids, b_dists, gt_nq, k)
+
+    print(f"== {name} ==")
+    print(f"L={L} K={k}")
+    print(f"Recall@{k}: float={r_float*100:.2f}%  bf16={r_bf16*100:.2f}%  (delta={(r_bf16-r_float)*100:.2f}%)")
+    print(f"Top1 ID match rate (bf16 vs float): {top1*100:.2f}%")
+    print(
+        "Distance abs error on common IDs: "
+        f"mean={mean_abs:.6g}, p99={p99_abs:.6g}, max={max_abs:.6g}"
+    )
+    print()
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser(description="Compare float vs bf16 search outputs (memory + disk)")
+    ap.add_argument("--gt", required=True, help="Ground-truth .bin (uint32 ids), computed from float data")
+    ap.add_argument("--L", type=int, required=True)
+    ap.add_argument("--K", type=int, required=True)
+
+    ap.add_argument("--mem_float", required=True, help="Memory float result prefix (no _L suffix)")
+    ap.add_argument("--mem_bf16", required=True, help="Memory bf16 result prefix (no _L suffix)")
+
+    ap.add_argument("--disk_float_full", required=True)
+    ap.add_argument("--disk_bf16_full", required=True)
+
+    ap.add_argument("--disk_float_pq", required=True)
+    ap.add_argument("--disk_bf16_pq", required=True)
+
+    args = ap.parse_args()
+
+    gt_path = Path(args.gt)
+
+    compare_block("Memory", gt_path, Path(args.mem_float), Path(args.mem_bf16), args.L, args.K)
+    compare_block("Disk (full-precision)", gt_path, Path(args.disk_float_full), Path(args.disk_bf16_full), args.L, args.K)
+    compare_block("Disk (PQ + reorder)", gt_path, Path(args.disk_float_pq), Path(args.disk_bf16_pq), args.L, args.K)
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/scripts/consistency/bin_convert.py b/scripts/consistency/bin_convert.py
new file mode 100755
index 000000000..abae8c727
--- /dev/null
+++ b/scripts/consistency/bin_convert.py
@@ -0,0 +1,93 @@
+#!/usr/bin/env python3
+
+import argparse
+import struct
+from pathlib import Path
+
+
+def _read_u32(f) -> int:
+    b = f.read(4)
+    if len(b) != 4:
+        raise EOFError("Unexpected EOF while reading u32")
+    return struct.unpack("<I", b)[0]
+
+
+def _float_to_bf16_bits_rne(f32: float) -> int:
+    bits = struct.unpack("<I", struct.pack("<f", f32))[0]
+    lsb = (bits >> 16) & 1
+    bits = (bits + 0x7FFF + lsb) & 0xFFFFFFFF
+    return (bits >> 16) & 0xFFFF
+
+
+def float_bin_to_bf16_bin(in_path: Path, out_path: Path) -> None:
+    with in_path.open("rb") as r:
+        npts = _read_u32(r)
+        ndims = _read_u32(r)
+        total = npts * ndims
+
+        payload = r.read(4 * total)
+        if len(payload) != 4 * total:
+            raise EOFError(
+                f"Unexpected EOF: expected {4*total} bytes of float32 payload, got {len(payload)}"
+            )
+
+    floats = struct.unpack(f"<{total}f", payload)
+
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    with out_path.open("wb") as w:
+        w.write(struct.pack("<II", npts, ndims))
+        # Stream out as u16 bf16 payload.
+        buf = bytearray(2 * total)
+        off = 0
+        for x in floats:
+            struct.pack_into("<H", buf, off, _float_to_bf16_bits_rne(x))
+            off += 2
+        w.write(buf)
+
+
+def bf16_bin_to_float_bin(in_path: Path, out_path: Path) -> None:
+    with in_path.open("rb") as r:
+        npts = _read_u32(r)
+        ndims = _read_u32(r)
+        total = npts * ndims
+
+        payload = r.read(2 * total)
+        if len(payload) != 2 * total:
+            raise EOFError(
+                f"Unexpected EOF: expected {2*total} bytes of bf16 payload, got {len(payload)}"
+            )
+
+    bf16_vals = struct.unpack(f"<{total}H", payload)
+
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    with out_path.open("wb") as w:
+        w.write(struct.pack("<II", npts, ndims))
+        buf = bytearray(4 * total)
+        off = 0
+        for v in bf16_vals:
+            bits = (v & 0xFFFF) << 16
+            struct.pack_into("<I", buf, off, bits)
+            off += 4
+        w.write(buf)
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser(description="Convert DiskANN .bin between float32 and bf16")
+    ap.add_argument("--mode", choices=["float_to_bf16", "bf16_to_float"], required=True)
+    ap.add_argument("--input", required=True)
+    ap.add_argument("--output", required=True)
+    args = ap.parse_args()
+
+    in_path = Path(args.input)
+    out_path = Path(args.output)
+
+    if args.mode == "float_to_bf16":
+        float_bin_to_bf16_bin(in_path, out_path)
+    else:
+        bf16_bin_to_float_bin(in_path, out_path)
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/scripts/consistency/run_consistency.sh b/scripts/consistency/run_consistency.sh
new file mode 100755
index 000000000..950f5d5ec
--- /dev/null
+++ b/scripts/consistency/run_consistency.sh
@@ -0,0 +1,113 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SCRIPT_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
+REPO_ROOT=$(cd "$SCRIPT_DIR/../.." && pwd)
+cd "$REPO_ROOT"
+
+if [ -d "build/apps" ]; then
+  BASE_PATH="build/apps"
+elif [ -d "build/tests" ]; then
+  BASE_PATH="build/tests"
+else
+  echo "Error: could not find build outputs under build/apps or build/tests" >&2
+  exit 2
+fi
+
+OUT_DIR=${OUT_DIR:-"$SCRIPT_DIR/_out"}
+NPTS=${NPTS:-5000}
+NQ=${NQ:-200}
+DIM=${DIM:-64}
+K=${K:-10}
+MEM_L=${MEM_L:-50}
+DISK_L=${DISK_L:-50}
+THREADS=${THREADS:-4}
+
+DISK_R=${DISK_R:-16}
+DISK_LBUILD=${DISK_LBUILD:-50}
+DISK_SEARCH_DRAM_BUDGET_GB=${DISK_SEARCH_DRAM_BUDGET_GB:-0.25}
+DISK_BUILD_DRAM_BUDGET_GB=${DISK_BUILD_DRAM_BUDGET_GB:-2}
+DISK_NUM_NODES_TO_CACHE=${DISK_NUM_NODES_TO_CACHE:-0}
+DISK_BEAMWIDTH=${DISK_BEAMWIDTH:-2}
+DISK_PQ_BYTES=${DISK_PQ_BYTES:-8}
+
+mkdir -p "$OUT_DIR/data" "$OUT_DIR/results"
+
+BASE_F32="$OUT_DIR/data/base_f32.bin"
+QUERY_F32="$OUT_DIR/data/query_f32.bin"
+BASE_BF16="$OUT_DIR/data/base_bf16.bin"
+QUERY_BF16="$OUT_DIR/data/query_bf16.bin"
+GT_PREFIX="$OUT_DIR/data/gt_l2"
+GT_BIN="$GT_PREFIX"
+
+MEM_F32_PREFIX="$OUT_DIR/results/mem_f32"
+MEM_BF16_PREFIX="$OUT_DIR/results/mem_bf16"
+
+DISK_F32_FULL_PREFIX="$OUT_DIR/results/disk_f32_full"
+DISK_BF16_FULL_PREFIX="$OUT_DIR/results/disk_bf16_full"
+DISK_F32_PQ_PREFIX="$OUT_DIR/results/disk_f32_pq"
+DISK_BF16_PQ_PREFIX="$OUT_DIR/results/disk_bf16_pq"
+
+IDX_MEM_F32_PREFIX="$OUT_DIR/results/index_mem_f32"
+IDX_MEM_BF16_PREFIX="$OUT_DIR/results/index_mem_bf16"
+IDX_DISK_F32_FULL_PREFIX="$OUT_DIR/results/index_disk_f32_full"
+IDX_DISK_BF16_FULL_PREFIX="$OUT_DIR/results/index_disk_bf16_full"
+IDX_DISK_F32_PQ_PREFIX="$OUT_DIR/results/index_disk_f32_pq"
+IDX_DISK_BF16_PQ_PREFIX="$OUT_DIR/results/index_disk_bf16_pq"
+
+echo "[1/6] Generate float32 base/query (NPTS=$NPTS NQ=$NQ DIM=$DIM)"
+"$BASE_PATH/utils/rand_data_gen" --data_type float --output_file "$BASE_F32" -D "$DIM" -N "$NPTS" --norm 1.0
+"$BASE_PATH/utils/rand_data_gen" --data_type float --output_file "$QUERY_F32" -D "$DIM" -N "$NQ" --norm 1.0
+
+echo "[2/6] Convert float32 -> bf16 (round-to-nearest-even)"
+python3 "$SCRIPT_DIR/bin_convert.py" --mode float_to_bf16 --input "$BASE_F32" --output "$BASE_BF16"
+python3 "$SCRIPT_DIR/bin_convert.py" --mode float_to_bf16 --input "$QUERY_F32" --output "$QUERY_BF16"
+
+echo "[3/6] Compute float32 ground truth (L2)"
+"$BASE_PATH/utils/compute_groundtruth" --data_type float --dist_fn l2 --base_file "$BASE_F32" --query_file "$QUERY_F32" --gt_file "$GT_PREFIX" --K "$K"
+
+# compute_groundtruth historically may or may not append a ".bin" suffix depending on build.
+if [[ -f "$GT_PREFIX" ]]; then
+  GT_BIN="$GT_PREFIX"
+elif [[ -f "$GT_PREFIX.bin" ]]; then
+  GT_BIN="$GT_PREFIX.bin"
+else
+  echo "Error: could not find ground truth output at '$GT_PREFIX' or '$GT_PREFIX.bin'" >&2
+  exit 2
+fi
+
+echo "[4/6] Memory: build + search (float vs bf16)"
+"$BASE_PATH/build_memory_index" --data_type float --dist_fn l2 --data_path "$BASE_F32" --index_path_prefix "$IDX_MEM_F32_PREFIX"
+"$BASE_PATH/build_memory_index" --data_type bf16 --dist_fn l2 --data_path "$BASE_BF16" --index_path_prefix "$IDX_MEM_BF16_PREFIX"
+
+"$BASE_PATH/search_memory_index" --data_type float --dist_fn l2 --index_path_prefix "$IDX_MEM_F32_PREFIX" --query_file "$QUERY_F32" --recall_at "$K" --result_path "$MEM_F32_PREFIX" --gt_file "$GT_BIN" -L "$MEM_L" -T "$THREADS"
+"$BASE_PATH/search_memory_index" --data_type bf16 --dist_fn l2 --index_path_prefix "$IDX_MEM_BF16_PREFIX" --query_file "$QUERY_BF16" --recall_at "$K" --result_path "$MEM_BF16_PREFIX" --gt_file "$GT_BIN" -L "$MEM_L" -T "$THREADS"
+
+echo "[5/6] Disk: build + search (full-precision and PQ+reorder; float vs bf16)"
+# Full-precision disk
+"$BASE_PATH/build_disk_index" --data_type float --dist_fn l2 --data_path "$BASE_F32" --index_path_prefix "$IDX_DISK_F32_FULL_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes 0 --build_PQ_bytes 0 -T "$THREADS"
+"$BASE_PATH/build_disk_index" --data_type bf16 --dist_fn l2 --data_path "$BASE_BF16" --index_path_prefix "$IDX_DISK_BF16_FULL_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes 0 --build_PQ_bytes 0 -T "$THREADS"
+
+"$BASE_PATH/search_disk_index" --data_type float --dist_fn l2 --index_path_prefix "$IDX_DISK_F32_FULL_PREFIX" --query_file "$QUERY_F32" --result_path "$DISK_F32_FULL_PREFIX" --gt_file "$GT_BIN" -K "$K" -L "$DISK_L" -W "$DISK_BEAMWIDTH" -T "$THREADS" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE"
+"$BASE_PATH/search_disk_index" --data_type bf16 --dist_fn l2 --index_path_prefix "$IDX_DISK_BF16_FULL_PREFIX" --query_file "$QUERY_BF16" --result_path "$DISK_BF16_FULL_PREFIX" --gt_file "$GT_BIN" -K "$K" -L "$DISK_L" -W "$DISK_BEAMWIDTH" -T "$THREADS" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE"
+
+# Disk PQ + reorder
+"$BASE_PATH/build_disk_index" --data_type float --dist_fn l2 --data_path "$BASE_F32" --index_path_prefix "$IDX_DISK_F32_PQ_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_BYTES" --build_PQ_bytes 0 --append_reorder_data -T "$THREADS"
+"$BASE_PATH/build_disk_index" --data_type bf16 --dist_fn l2 --data_path "$BASE_BF16" --index_path_prefix "$IDX_DISK_BF16_PQ_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_BYTES" --build_PQ_bytes 0 --append_reorder_data -T "$THREADS"
+
+"$BASE_PATH/search_disk_index" --data_type float --dist_fn l2 --index_path_prefix "$IDX_DISK_F32_PQ_PREFIX" --query_file "$QUERY_F32" --result_path "$DISK_F32_PQ_PREFIX" --gt_file "$GT_BIN" -K "$K" -L "$DISK_L" -W "$DISK_BEAMWIDTH" -T "$THREADS" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" --use_reorder_data
+"$BASE_PATH/search_disk_index" --data_type bf16 --dist_fn l2 --index_path_prefix "$IDX_DISK_BF16_PQ_PREFIX" --query_file "$QUERY_BF16" --result_path "$DISK_BF16_PQ_PREFIX" --gt_file "$GT_BIN" -K "$K" -L "$DISK_L" -W "$DISK_BEAMWIDTH" -T "$THREADS" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" --use_reorder_data
+
+echo "[6/6] Analyze float vs bf16 deltas"
+python3 "$SCRIPT_DIR/analyze_results.py" \
+  --gt "$GT_BIN" \
+  --L "$MEM_L" \
+  --K "$K" \
+  --mem_float "$MEM_F32_PREFIX" \
+  --mem_bf16 "$MEM_BF16_PREFIX" \
+  --disk_float_full "$DISK_F32_FULL_PREFIX" \
+  --disk_bf16_full "$DISK_BF16_FULL_PREFIX" \
+  --disk_float_pq "$DISK_F32_PQ_PREFIX" \
+  --disk_bf16_pq "$DISK_BF16_PQ_PREFIX"
+
+echo "Done. Artifacts under: $OUT_DIR"
diff --git a/scripts/perf/README.md b/scripts/perf/README.md
index cbde8d488..3b14f317b 100644
--- a/scripts/perf/README.md
+++ b/scripts/perf/README.md
@@ -18,9 +18,30 @@ Environment variables:
 - `DATA_TYPE` (default: `float`)
 	- Supported: `float`, `bf16`
 - `PERF_MODE` (default: `memory`)
-	- `memory`: run in-memory index perf only
-	- `disk`: run SSD/disk index perf only
-	- `both`: run memory + disk perf
+	- `memory`: run **in-memory** index perf only
+	- `disk`: run **SSD/disk** index perf only
+	- `both`: run **both** memory + disk perf
+
+`PERF_MODE` details:
+
+- `PERF_MODE=memory`
+	- Builds and searches **in-memory** indexes (`build_memory_index`, `search_memory_index`).
+	- For `DATA_TYPE=float`, also runs `fast_l2` memory search.
+
+- `PERF_MODE=disk`
+	- Builds and searches **SSD/disk** indexes (`build_disk_index`, `search_disk_index`).
+	- For `DATA_TYPE=float`, runs disk perf for `l2`, `mips`, `cosine`.
+	- For `DATA_TYPE=bf16`, runs disk perf for `l2`, `cosine`:
+		- full-precision disk (`PQ_disk_bytes=0`)
+		- disk-PQ + reorder (`--append_reorder_data` / `--use_reorder_data`)
+
+- `PERF_MODE=both`
+	- Runs everything from both `memory` and `disk`.
+
+Legacy compatibility:
+
+- `RUN_DISK=1` maps to `PERF_MODE=both`
+- `RUN_DISK=0` maps to `PERF_MODE=memory`
 
 Examples:
 
@@ -28,14 +49,26 @@ Examples:
 # Memory index perf with bf16
 DATA_TYPE=bf16 PERF_MODE=memory ./scripts/perf/perf_test.sh
 
-# Disk index perf (float-only)
+# Memory + disk perf with bf16
+DATA_TYPE=bf16 PERF_MODE=both ./scripts/perf/perf_test.sh
+
+# Disk index perf (float)
 DATA_TYPE=float PERF_MODE=disk ./scripts/perf/perf_test.sh
+
+# Disk index perf (bf16): runs both full-precision disk and disk-PQ(+reorder)
+DATA_TYPE=bf16 PERF_MODE=disk ./scripts/perf/perf_test.sh
+
+# Disk index perf (bf16) with custom disk-PQ bytes (default: 8)
+DATA_TYPE=bf16 PERF_MODE=disk DISK_BF16_PQ_DISK_BYTES=16 ./scripts/perf/perf_test.sh
 ```
 
 Notes:
 
-- Disk index perf is currently **float-only**. If `PERF_MODE` includes `disk` and `DATA_TYPE!=float`, disk tests are skipped.
-- Legacy `RUN_DISK=1` is still accepted and maps to `PERF_MODE=both` for backward compatibility.
+- For `DATA_TYPE=bf16` and `PERF_MODE` includes `disk`, the script runs:
+	- full-precision disk (`PQ_disk_bytes=0`) and
+	- disk-PQ with reorder (`--append_reorder_data` / `--use_reorder_data`).
+- `DISK_BF16_PQ_DISK_BYTES` controls the bf16 disk-PQ compression level for the disk-PQ runs (default: 8).
+- For backward compatibility, `RUN_DISK` is still accepted and overrides `PERF_MODE`.
 
 `docker build` must be run with the context directory set to `scripts`, but the Dockerfile set to `scripts/perf/Dockerfile` as in:
 ```bash
diff --git a/scripts/perf/perf_test.sh b/scripts/perf/perf_test.sh
index 0fadae638..669d1d566 100644
--- a/scripts/perf/perf_test.sh
+++ b/scripts/perf/perf_test.sh
@@ -88,22 +88,21 @@ if [[ "$PERF_MODE" == "memory" || "$PERF_MODE" == "both" ]]; then
 fi
 
 # Optional SSD/disk index perf (mixed RAM+SSD).
-# Note: build_disk_index/search_disk_index do not support bf16 currently.
 if [[ "$PERF_MODE" == "disk" || "$PERF_MODE" == "both" ]]; then
-  if [[ "$DATA_TYPE" != "float" ]]; then
-    echo "PERF_MODE includes disk but DATA_TYPE='$DATA_TYPE' is not supported for disk index; skipping disk tests."
-  else
-    DISK_R=${DISK_R:-32}
-    DISK_LBUILD=${DISK_LBUILD:-50}
-    DISK_SEARCH_DRAM_BUDGET_GB=${DISK_SEARCH_DRAM_BUDGET_GB:-0.5}
-    DISK_BUILD_DRAM_BUDGET_GB=${DISK_BUILD_DRAM_BUDGET_GB:-8}
-    DISK_PQ_DISK_BYTES=${DISK_PQ_DISK_BYTES:-0}
-    DISK_BUILD_PQ_BYTES=${DISK_BUILD_PQ_BYTES:-0}
-    DISK_NUM_NODES_TO_CACHE=${DISK_NUM_NODES_TO_CACHE:-10000}
-    DISK_BEAMWIDTH=${DISK_BEAMWIDTH:-2}
-    DISK_RECALL_AT=${DISK_RECALL_AT:-10}
-    DISK_SEARCH_LISTS=${DISK_SEARCH_LISTS:-"10 20 30 40 50 100"}
+  DISK_R=${DISK_R:-32}
+  DISK_LBUILD=${DISK_LBUILD:-50}
+  DISK_SEARCH_DRAM_BUDGET_GB=${DISK_SEARCH_DRAM_BUDGET_GB:-0.5}
+  DISK_BUILD_DRAM_BUDGET_GB=${DISK_BUILD_DRAM_BUDGET_GB:-8}
+  DISK_PQ_DISK_BYTES=${DISK_PQ_DISK_BYTES:-0}
+  DISK_BUILD_PQ_BYTES=${DISK_BUILD_PQ_BYTES:-0}
+  DISK_NUM_NODES_TO_CACHE=${DISK_NUM_NODES_TO_CACHE:-10000}
+  DISK_BEAMWIDTH=${DISK_BEAMWIDTH:-2}
+  DISK_RECALL_AT=${DISK_RECALL_AT:-10}
+  DISK_SEARCH_LISTS=${DISK_SEARCH_LISTS:-"10 20 30 40 50 100"}
+
+  mkdir -p temp
 
+  if [[ "$DATA_TYPE" == "float" ]]; then
     DISK_INDEX_L2_PREFIX="data/disk_index_l2_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
     DISK_INDEX_MIPS_PREFIX="data/disk_index_mips_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
     DISK_INDEX_COSINE_PREFIX="data/disk_index_cosine_rand_${DATA_TYPE}_768D_1M_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
@@ -116,6 +115,29 @@ if [[ "$PERF_MODE" == "disk" || "$PERF_MODE" == "both" ]]; then
 
     json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_COSINE_PREFIX" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
     json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --index_path_prefix "$DISK_INDEX_COSINE_PREFIX" --query_file "$QUERY_FILE" --gt_file "$GT_COSINE_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_cosine" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+  elif [[ "$DATA_TYPE" == "bf16" ]]; then
+    # bf16 disk: run both full-precision and disk-PQ(+reorder) to cover true bf16-on-SSD workflows.
+    # Note: mips is not part of bf16 disk perf since the CLI advertises mips as float-only.
+    DISK_BF16_PQ_DISK_BYTES=${DISK_BF16_PQ_DISK_BYTES:-8}
+
+    DISK_INDEX_L2_PREFIX_FULL="data/disk_index_l2_rand_${DATA_TYPE}_768D_1M_full_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+    DISK_INDEX_COSINE_PREFIX_FULL="data/disk_index_cosine_rand_${DATA_TYPE}_768D_1M_full_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+    DISK_INDEX_L2_PREFIX_PQ="data/disk_index_l2_rand_${DATA_TYPE}_768D_1M_pq${DISK_BF16_PQ_DISK_BYTES}_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+    DISK_INDEX_COSINE_PREFIX_PQ="data/disk_index_cosine_rand_${DATA_TYPE}_768D_1M_pq${DISK_BF16_PQ_DISK_BYTES}_R${DISK_R}_L${DISK_LBUILD}_B${DISK_SEARCH_DRAM_BUDGET_GB}_M${DISK_BUILD_DRAM_BUDGET_GB}"
+
+    # Full-precision bf16 on disk.
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_L2_PREFIX_FULL" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes 0 --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --index_path_prefix "$DISK_INDEX_L2_PREFIX_FULL" --query_file "$QUERY_FILE" --gt_file "$GT_L2_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_bf16_l2_full" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_COSINE_PREFIX_FULL" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes 0 --build_PQ_bytes "$DISK_BUILD_PQ_BYTES"
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --index_path_prefix "$DISK_INDEX_COSINE_PREFIX_FULL" --query_file "$QUERY_FILE" --gt_file "$GT_COSINE_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_bf16_cosine_full" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH"
+
+    # Disk-PQ + reorder (true bf16 reorder vectors on SSD).
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_L2_PREFIX_PQ" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_BF16_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES" --append_reorder_data
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn l2 --index_path_prefix "$DISK_INDEX_L2_PREFIX_PQ" --query_file "$QUERY_FILE" --gt_file "$GT_L2_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_bf16_l2_pq" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH" --use_reorder_data
+
+    json_time $BASE_PATH/build_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --data_path "$BASE_FILE" --index_path_prefix "$DISK_INDEX_COSINE_PREFIX_PQ" -R "$DISK_R" -L "$DISK_LBUILD" -B "$DISK_SEARCH_DRAM_BUDGET_GB" -M "$DISK_BUILD_DRAM_BUDGET_GB" --PQ_disk_bytes "$DISK_BF16_PQ_DISK_BYTES" --build_PQ_bytes "$DISK_BUILD_PQ_BYTES" --append_reorder_data
+    json_time $BASE_PATH/search_disk_index --data_type "$DATA_TYPE" --dist_fn cosine --index_path_prefix "$DISK_INDEX_COSINE_PREFIX_PQ" --query_file "$QUERY_FILE" --gt_file "$GT_COSINE_FILE" -K "$DISK_RECALL_AT" -L $DISK_SEARCH_LISTS --result_path "temp/disk_bf16_cosine_pq" --num_nodes_to_cache "$DISK_NUM_NODES_TO_CACHE" -W "$DISK_BEAMWIDTH" --use_reorder_data
   fi
 fi
 
diff --git a/src/abstract_index.cpp b/src/abstract_index.cpp
index 92665825f..498aa26b9 100644
--- a/src/abstract_index.cpp
+++ b/src/abstract_index.cpp
@@ -1,6 +1,7 @@
 #include "common_includes.h"
 #include "windows_customizations.h"
 #include "abstract_index.h"
+#include "bfloat16.h"
 
 namespace diskann
 {
@@ -147,6 +148,8 @@ template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<u
     const uint8_t *query, const size_t K, const uint32_t L, uint32_t *indices, float *distances);
 template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<int8_t, uint32_t>(
     const int8_t *query, const size_t K, const uint32_t L, uint32_t *indices, float *distances);
+template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<diskann::bfloat16, uint32_t>(
+    const diskann::bfloat16 *query, const size_t K, const uint32_t L, uint32_t *indices, float *distances);
 
 template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<float, uint64_t>(
     const float *query, const size_t K, const uint32_t L, uint64_t *indices, float *distances);
@@ -154,6 +157,8 @@ template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<u
     const uint8_t *query, const size_t K, const uint32_t L, uint64_t *indices, float *distances);
 template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<int8_t, uint64_t>(
     const int8_t *query, const size_t K, const uint32_t L, uint64_t *indices, float *distances);
+template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search<diskann::bfloat16, uint64_t>(
+    const diskann::bfloat16 *query, const size_t K, const uint32_t L, uint64_t *indices, float *distances);
 
 template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search_with_filters<uint32_t>(
     const DataType &query, const std::string &raw_label, const size_t K, const uint32_t L, uint32_t *indices,
@@ -166,6 +171,9 @@ template DISKANN_DLLEXPORT std::pair<uint32_t, uint32_t> AbstractIndex::search_w
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<float, int32_t>(
     const float *query, const uint64_t K, const uint32_t L, int32_t *tags, float *distances,
     std::vector<float *> &res_vectors, bool use_filters, const std::string filter_label);
+template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<diskann::bfloat16, int32_t>(
+    const diskann::bfloat16 *query, const uint64_t K, const uint32_t L, int32_t *tags, float *distances,
+    std::vector<diskann::bfloat16 *> &res_vectors, bool use_filters, const std::string filter_label);
 
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<uint8_t, int32_t>(
     const uint8_t *query, const uint64_t K, const uint32_t L, int32_t *tags, float *distances,
@@ -178,6 +186,9 @@ template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<int8_t, int32_
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<float, uint32_t>(
     const float *query, const uint64_t K, const uint32_t L, uint32_t *tags, float *distances,
     std::vector<float *> &res_vectors, bool use_filters, const std::string filter_label);
+template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<diskann::bfloat16, uint32_t>(
+    const diskann::bfloat16 *query, const uint64_t K, const uint32_t L, uint32_t *tags, float *distances,
+    std::vector<diskann::bfloat16 *> &res_vectors, bool use_filters, const std::string filter_label);
 
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<uint8_t, uint32_t>(
     const uint8_t *query, const uint64_t K, const uint32_t L, uint32_t *tags, float *distances,
@@ -190,6 +201,9 @@ template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<int8_t, uint32
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<float, int64_t>(
     const float *query, const uint64_t K, const uint32_t L, int64_t *tags, float *distances,
     std::vector<float *> &res_vectors, bool use_filters, const std::string filter_label);
+template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<diskann::bfloat16, int64_t>(
+    const diskann::bfloat16 *query, const uint64_t K, const uint32_t L, int64_t *tags, float *distances,
+    std::vector<diskann::bfloat16 *> &res_vectors, bool use_filters, const std::string filter_label);
 
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<uint8_t, int64_t>(
     const uint8_t *query, const uint64_t K, const uint32_t L, int64_t *tags, float *distances,
@@ -202,6 +216,9 @@ template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<int8_t, int64_
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<float, uint64_t>(
     const float *query, const uint64_t K, const uint32_t L, uint64_t *tags, float *distances,
     std::vector<float *> &res_vectors, bool use_filters, const std::string filter_label);
+template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<diskann::bfloat16, uint64_t>(
+    const diskann::bfloat16 *query, const uint64_t K, const uint32_t L, uint64_t *tags, float *distances,
+    std::vector<diskann::bfloat16 *> &res_vectors, bool use_filters, const std::string filter_label);
 
 template DISKANN_DLLEXPORT size_t AbstractIndex::search_with_tags<uint8_t, uint64_t>(
     const uint8_t *query, const uint64_t K, const uint32_t L, uint64_t *tags, float *distances,
@@ -217,6 +234,8 @@ template DISKANN_DLLEXPORT void AbstractIndex::search_with_optimized_layout<uint
                                                                                      size_t L, uint32_t *indices);
 template DISKANN_DLLEXPORT void AbstractIndex::search_with_optimized_layout<int8_t>(const int8_t *query, size_t K,
                                                                                     size_t L, uint32_t *indices);
+template DISKANN_DLLEXPORT void AbstractIndex::search_with_optimized_layout<diskann::bfloat16>(
+    const diskann::bfloat16 *query, size_t K, size_t L, uint32_t *indices);
 
 template DISKANN_DLLEXPORT int AbstractIndex::insert_point<float, int32_t>(const float *point, const int32_t tag);
 template DISKANN_DLLEXPORT int AbstractIndex::insert_point<uint8_t, int32_t>(const uint8_t *point, const int32_t tag);
diff --git a/src/disk_utils.cpp b/src/disk_utils.cpp
index 22f1e98fd..802d1672d 100644
--- a/src/disk_utils.cpp
+++ b/src/disk_utils.cpp
@@ -147,7 +147,14 @@ template <typename T> T *generateRandomWarmup(uint64_t warmup_num, uint64_t warm
     {
         for (uint32_t d = 0; d < warmup_dim; d++)
         {
-            warmup[i * warmup_aligned_dim + d] = (T)dis(gen);
+            if constexpr (std::is_same<T, diskann::bfloat16>::value)
+            {
+                warmup[i * warmup_aligned_dim + d] = (T)(float)dis(gen);
+            }
+            else
+            {
+                warmup[i * warmup_aligned_dim + d] = (T)dis(gen);
+            }
         }
     }
     diskann::cout << "..done" << std::endl;
@@ -843,7 +850,7 @@ uint32_t optimize_beamwidth(std::unique_ptr<diskann::PQFlashIndex<T, LabelT>> &p
     return best_bw;
 }
 
-template <typename T>
+template <typename T, typename ReorderT>
 void create_disk_layout(const std::string base_file, const std::string mem_index_file, const std::string output_file,
                         const std::string reorder_data_file)
 {
@@ -880,7 +887,8 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
                 throw ANNException("Mismatch in num_points between reorder "
                                    "data file and base file",
                                    -1, __FUNCSIG__, __FILE__, __LINE__);
-            if (reorder_data_file_size != 8 + sizeof(float) * (size_t)npts_reorder_file * (size_t)ndims_reorder_file)
+            if (reorder_data_file_size !=
+                8 + sizeof(ReorderT) * (size_t)npts_reorder_file * (size_t)ndims_reorder_file)
                 throw ANNException("Discrepancy in reorder data file size ", -1, __FUNCSIG__, __FILE__, __LINE__);
         }
         catch (std::system_error &e)
@@ -942,7 +950,7 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
 
     if (append_reorder_data)
     {
-        n_data_nodes_per_sector = defaults::SECTOR_LEN / (ndims_reorder_file * sizeof(float));
+        n_data_nodes_per_sector = defaults::SECTOR_LEN / (ndims_reorder_file * sizeof(ReorderT));
         n_reorder_sectors = ROUND_UP(npts_64, n_data_nodes_per_sector) / n_data_nodes_per_sector;
     }
     uint64_t disk_index_file_size = (n_sectors + n_reorder_sectors + 1) * defaults::SECTOR_LEN;
@@ -961,6 +969,7 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
         output_file_meta.push_back(n_sectors + 1);
         output_file_meta.push_back(ndims_reorder_file);
         output_file_meta.push_back(n_data_nodes_per_sector);
+        output_file_meta.push_back(sizeof(ReorderT));
     }
     output_file_meta.push_back(disk_index_file_size);
 
@@ -1067,7 +1076,7 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
     {
         diskann::cout << "Index written. Appending reorder data..." << std::endl;
 
-        auto vec_len = ndims_reorder_file * sizeof(float);
+        auto vec_len = ndims_reorder_file * sizeof(ReorderT);
         std::unique_ptr<char[]> vec_buf = std::make_unique<char[]>(vec_len);
 
         for (uint64_t sector = 0; sector < n_reorder_sectors; sector++)
@@ -1079,9 +1088,13 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
 
             memset(sector_buf.get(), 0, defaults::SECTOR_LEN);
 
-            for (uint64_t sector_node_id = 0; sector_node_id < n_data_nodes_per_sector && sector_node_id < npts_64;
-                 sector_node_id++)
+            for (uint64_t sector_node_id = 0; sector_node_id < n_data_nodes_per_sector; sector_node_id++)
             {
+                const uint64_t global_node_id = sector * n_data_nodes_per_sector + sector_node_id;
+                if (global_node_id >= npts_64)
+                {
+                    break;
+                }
                 memset(vec_buf.get(), 0, vec_len);
                 reorder_data_reader.read(vec_buf.get(), vec_len);
 
@@ -1097,6 +1110,14 @@ void create_disk_layout(const std::string base_file, const std::string mem_index
     diskann::cout << "Output disk index file written to " << output_file << std::endl;
 }
 
+// Backwards-compatible entry point: reorder data is stored as float.
+template <typename T>
+void create_disk_layout(const std::string base_file, const std::string mem_index_file, const std::string output_file,
+                        const std::string reorder_data_file)
+{
+    create_disk_layout<T, float>(base_file, mem_index_file, output_file, reorder_data_file);
+}
+
 template <typename T, typename LabelT>
 int build_disk_index(const char *dataFilePath, const char *indexFilePath, const char *indexBuildParameters,
                      diskann::Metric compareMetric, bool use_opq, const std::string &codebook_prefix, bool use_filters,
@@ -1129,7 +1150,7 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
         return -1;
     }
 
-    if (!std::is_same<T, float>::value &&
+    if (!diskann::is_floating_point_like_v<T> &&
         (compareMetric == diskann::Metric::INNER_PRODUCT || compareMetric == diskann::Metric::COSINE))
     {
         std::stringstream stream;
@@ -1227,7 +1248,7 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
                      "apart from the interim indices created by DiskANN and the final index."
                   << std::endl;
         data_file_to_use = prepped_base;
-        diskann::normalize_data_file(base_file, prepped_base);
+        diskann::normalize_data_file_typed<T>(base_file, prepped_base);
         diskann::cout << timer.elapsed_seconds_for_step("preprocessing data for cosine") << std::endl;
         created_temp_file_for_processed_data = true;
     }
@@ -1338,8 +1359,8 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
         if (!reorder_data)
             diskann::create_disk_layout<uint8_t>(disk_pq_compressed_vectors_path, mem_index_path, disk_index_path);
         else
-            diskann::create_disk_layout<uint8_t>(disk_pq_compressed_vectors_path, mem_index_path, disk_index_path,
-                                                 data_file_to_use.c_str());
+            diskann::create_disk_layout<uint8_t, T>(disk_pq_compressed_vectors_path, mem_index_path, disk_index_path,
+                                                    data_file_to_use.c_str());
     }
     diskann::cout << timer.elapsed_seconds_for_step("generating disk layout") << std::endl;
 
@@ -1387,6 +1408,23 @@ template DISKANN_DLLEXPORT void create_disk_layout<uint8_t>(const std::string ba
 template DISKANN_DLLEXPORT void create_disk_layout<float>(const std::string base_file, const std::string mem_index_file,
                                                           const std::string output_file,
                                                           const std::string reorder_data_file);
+template DISKANN_DLLEXPORT void create_disk_layout<diskann::bfloat16>(const std::string base_file,
+                                                                      const std::string mem_index_file,
+                                                                      const std::string output_file,
+                                                                      const std::string reorder_data_file);
+
+template DISKANN_DLLEXPORT void create_disk_layout<uint8_t, float>(const std::string base_file,
+                                                                   const std::string mem_index_file,
+                                                                   const std::string output_file,
+                                                                   const std::string reorder_data_file);
+template DISKANN_DLLEXPORT void create_disk_layout<uint8_t, diskann::bfloat16>(const std::string base_file,
+                                                                               const std::string mem_index_file,
+                                                                               const std::string output_file,
+                                                                               const std::string reorder_data_file);
+template DISKANN_DLLEXPORT void create_disk_layout<diskann::bfloat16, float>(const std::string base_file,
+                                                                             const std::string mem_index_file,
+                                                                             const std::string output_file,
+                                                                             const std::string reorder_data_file);
 
 template DISKANN_DLLEXPORT int8_t *load_warmup<int8_t>(const std::string &cache_warmup_file, uint64_t &warmup_num,
                                                        uint64_t warmup_dim, uint64_t warmup_aligned_dim);
@@ -1394,6 +1432,9 @@ template DISKANN_DLLEXPORT uint8_t *load_warmup<uint8_t>(const std::string &cach
                                                          uint64_t warmup_dim, uint64_t warmup_aligned_dim);
 template DISKANN_DLLEXPORT float *load_warmup<float>(const std::string &cache_warmup_file, uint64_t &warmup_num,
                                                      uint64_t warmup_dim, uint64_t warmup_aligned_dim);
+template DISKANN_DLLEXPORT diskann::bfloat16 *load_warmup<diskann::bfloat16>(const std::string &cache_warmup_file,
+                                                                             uint64_t &warmup_num, uint64_t warmup_dim,
+                                                                             uint64_t warmup_aligned_dim);
 
 #ifdef EXEC_ENV_OLS
 template DISKANN_DLLEXPORT int8_t *load_warmup<int8_t>(MemoryMappedFiles &files, const std::string &cache_warmup_file,
@@ -1416,6 +1457,9 @@ template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<uint8_t, uint32_t>(
 template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<float, uint32_t>(
     std::unique_ptr<diskann::PQFlashIndex<float, uint32_t>> &pFlashIndex, float *tuning_sample,
     uint64_t tuning_sample_num, uint64_t tuning_sample_aligned_dim, uint32_t L, uint32_t nthreads, uint32_t start_bw);
+template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<diskann::bfloat16, uint32_t>(
+    std::unique_ptr<diskann::PQFlashIndex<diskann::bfloat16, uint32_t>> &pFlashIndex, diskann::bfloat16 *tuning_sample,
+    uint64_t tuning_sample_num, uint64_t tuning_sample_aligned_dim, uint32_t L, uint32_t nthreads, uint32_t start_bw);
 
 template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<int8_t, uint16_t>(
     std::unique_ptr<diskann::PQFlashIndex<int8_t, uint16_t>> &pFlashIndex, int8_t *tuning_sample,
@@ -1426,6 +1470,9 @@ template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<uint8_t, uint16_t>(
 template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<float, uint16_t>(
     std::unique_ptr<diskann::PQFlashIndex<float, uint16_t>> &pFlashIndex, float *tuning_sample,
     uint64_t tuning_sample_num, uint64_t tuning_sample_aligned_dim, uint32_t L, uint32_t nthreads, uint32_t start_bw);
+template DISKANN_DLLEXPORT uint32_t optimize_beamwidth<diskann::bfloat16, uint16_t>(
+    std::unique_ptr<diskann::PQFlashIndex<diskann::bfloat16, uint16_t>> &pFlashIndex, diskann::bfloat16 *tuning_sample,
+    uint64_t tuning_sample_num, uint64_t tuning_sample_aligned_dim, uint32_t L, uint32_t nthreads, uint32_t start_bw);
 
 template DISKANN_DLLEXPORT int build_disk_index<int8_t, uint32_t>(const char *dataFilePath, const char *indexFilePath,
                                                                   const char *indexBuildParameters,
@@ -1448,6 +1495,10 @@ template DISKANN_DLLEXPORT int build_disk_index<float, uint32_t>(const char *dat
                                                                  const std::string &label_file,
                                                                  const std::string &universal_label,
                                                                  const uint32_t filter_threshold, const uint32_t Lf);
+template DISKANN_DLLEXPORT int build_disk_index<diskann::bfloat16, uint32_t>(
+    const char *dataFilePath, const char *indexFilePath, const char *indexBuildParameters, diskann::Metric compareMetric,
+    bool use_opq, const std::string &codebook_prefix, bool use_filters, const std::string &label_file,
+    const std::string &universal_label, const uint32_t filter_threshold, const uint32_t Lf);
 // LabelT = uint16
 template DISKANN_DLLEXPORT int build_disk_index<int8_t, uint16_t>(const char *dataFilePath, const char *indexFilePath,
                                                                   const char *indexBuildParameters,
@@ -1470,6 +1521,10 @@ template DISKANN_DLLEXPORT int build_disk_index<float, uint16_t>(const char *dat
                                                                  const std::string &label_file,
                                                                  const std::string &universal_label,
                                                                  const uint32_t filter_threshold, const uint32_t Lf);
+template DISKANN_DLLEXPORT int build_disk_index<diskann::bfloat16, uint16_t>(
+    const char *dataFilePath, const char *indexFilePath, const char *indexBuildParameters, diskann::Metric compareMetric,
+    bool use_opq, const std::string &codebook_prefix, bool use_filters, const std::string &label_file,
+    const std::string &universal_label, const uint32_t filter_threshold, const uint32_t Lf);
 
 template DISKANN_DLLEXPORT int build_merged_vamana_index<int8_t, uint32_t>(
     std::string base_file, diskann::Metric compareMetric, uint32_t L, uint32_t R, double sampling_rate,
diff --git a/src/index_factory.cpp b/src/index_factory.cpp
index abda6895f..c5f2dca9e 100644
--- a/src/index_factory.cpp
+++ b/src/index_factory.cpp
@@ -45,11 +45,7 @@ void IndexFactory::check_config()
                            -1);
     }
 
-    // Minimal initial bf16 support: full-precision build/search only.
-    if (is_bf16 && _config->pq_dist_build)
-    {
-        throw ANNException("ERROR: pq_dist_build is not supported for bf16 yet. Use build_PQ_bytes=0.", -1);
-    }
+    // bf16 now supports pq_dist_build via PQDataStore<bfloat16> (internally converts queries to float).
 
     if (_config->tag_type != "int32" && _config->tag_type != "uint32" && _config->tag_type != "int64" &&
         _config->tag_type != "uint64")
@@ -134,23 +130,18 @@ std::unique_ptr<AbstractIndex> IndexFactory::create_instance()
     auto data_store = construct_datastore<data_type>(_config->data_strategy, num_points, dim, _config->metric);
     std::shared_ptr<AbstractDataStore<data_type>> pq_data_store = nullptr;
 
-    if constexpr (std::is_same<data_type, diskann::bfloat16>::value)
+    if (_config->data_strategy == DataStoreStrategy::MEMORY && _config->pq_dist_build)
     {
-        // bf16: do not compile/instantiate PQ datastore path yet.
-        pq_data_store = data_store;
+        pq_data_store = construct_pq_datastore<data_type>(_config->data_strategy,
+                                                          num_points + _config->num_frozen_pts,
+                                                          dim,
+                                                          _config->metric,
+                                                          _config->num_pq_chunks,
+                                                          _config->use_opq);
     }
     else
     {
-        if (_config->data_strategy == DataStoreStrategy::MEMORY && _config->pq_dist_build)
-        {
-            pq_data_store =
-                construct_pq_datastore<data_type>(_config->data_strategy, num_points + _config->num_frozen_pts, dim,
-                                                  _config->metric, _config->num_pq_chunks, _config->use_opq);
-        }
-        else
-        {
-            pq_data_store = data_store;
-        }
+        pq_data_store = data_store;
     }
     size_t max_reserve_degree =
         (size_t)(defaults::GRAPH_SLACK_FACTOR * 1.05 *
diff --git a/src/partition.cpp b/src/partition.cpp
index d0061708a..b198aabd5 100644
--- a/src/partition.cpp
+++ b/src/partition.cpp
@@ -21,6 +21,7 @@
 #include "parameters.h"
 #include "memory_mapper.h"
 #include "partition.h"
+#include "bfloat16.h"
 #ifdef _WINDOWS
 #include <xmmintrin.h>
 #endif
@@ -611,6 +612,9 @@ template void DISKANN_DLLEXPORT gen_random_slice<uint8_t>(const std::string base
                                                           double sampling_rate);
 template void DISKANN_DLLEXPORT gen_random_slice<float>(const std::string base_file, const std::string output_prefix,
                                                         double sampling_rate);
+template void DISKANN_DLLEXPORT gen_random_slice<diskann::bfloat16>(const std::string base_file,
+                                                                    const std::string output_prefix,
+                                                                    double sampling_rate);
 
 template void DISKANN_DLLEXPORT gen_random_slice<float>(const float *inputdata, size_t npts, size_t ndims, double p_val,
                                                         float *&sampled_data, size_t &slice_size);
@@ -625,6 +629,9 @@ template void DISKANN_DLLEXPORT gen_random_slice<uint8_t>(const std::string data
                                                           float *&sampled_data, size_t &slice_size, size_t &ndims);
 template void DISKANN_DLLEXPORT gen_random_slice<int8_t>(const std::string data_file, double p_val,
                                                          float *&sampled_data, size_t &slice_size, size_t &ndims);
+template void DISKANN_DLLEXPORT gen_random_slice<diskann::bfloat16>(const std::string data_file, double p_val,
+                                                                    float *&sampled_data, size_t &slice_size,
+                                                                    size_t &ndims);
 
 template DISKANN_DLLEXPORT int partition<int8_t>(const std::string data_file, const float sampling_rate,
                                                  size_t num_centers, size_t max_k_means_reps,
@@ -647,6 +654,9 @@ template DISKANN_DLLEXPORT int partition_with_ram_budget<uint8_t>(const std::str
 template DISKANN_DLLEXPORT int partition_with_ram_budget<float>(const std::string data_file, const double sampling_rate,
                                                                 double ram_budget, size_t graph_degree,
                                                                 const std::string prefix_path, size_t k_base);
+template DISKANN_DLLEXPORT int partition_with_ram_budget<diskann::bfloat16>(
+    const std::string data_file, const double sampling_rate, double ram_budget, size_t graph_degree,
+    const std::string prefix_path, size_t k_base);
 
 template DISKANN_DLLEXPORT int retrieve_shard_data_from_ids<float>(const std::string data_file,
                                                                    std::string idmap_filename,
@@ -656,4 +666,7 @@ template DISKANN_DLLEXPORT int retrieve_shard_data_from_ids<uint8_t>(const std::
                                                                      std::string data_filename);
 template DISKANN_DLLEXPORT int retrieve_shard_data_from_ids<int8_t>(const std::string data_file,
                                                                     std::string idmap_filename,
-                                                                    std::string data_filename);
\ No newline at end of file
+                                                                    std::string data_filename);
+template DISKANN_DLLEXPORT int retrieve_shard_data_from_ids<diskann::bfloat16>(const std::string data_file,
+                                                                              std::string idmap_filename,
+                                                                              std::string data_filename);
\ No newline at end of file
diff --git a/src/pq.cpp b/src/pq.cpp
index d2b545c79..9e059a8b0 100644
--- a/src/pq.cpp
+++ b/src/pq.cpp
@@ -9,6 +9,7 @@
 #include "partition.h"
 #include "math_utils.h"
 #include "tsl/robin_map.h"
+#include "bfloat16.h"
 
 // block size for reading/processing large files and matrices in blocks
 #define BLOCK_SIZE 5000000
@@ -1148,6 +1149,9 @@ template DISKANN_DLLEXPORT int generate_pq_data_from_pivots<float>(const std::st
                                                                    const std::string &pq_pivots_path,
                                                                    const std::string &pq_compressed_vectors_path,
                                                                    bool use_opq);
+template DISKANN_DLLEXPORT int generate_pq_data_from_pivots<diskann::bfloat16>(
+    const std::string &data_file, uint32_t num_centers, uint32_t num_pq_chunks, const std::string &pq_pivots_path,
+    const std::string &pq_compressed_vectors_path, bool use_opq);
 
 template DISKANN_DLLEXPORT void generate_disk_quantized_data<int8_t>(const std::string &data_file_to_use,
                                                                      const std::string &disk_pq_pivots_path,
@@ -1165,6 +1169,10 @@ template DISKANN_DLLEXPORT void generate_disk_quantized_data<float>(const std::s
                                                                     const std::string &disk_pq_compressed_vectors_path,
                                                                     diskann::Metric compareMetric, const double p_val,
                                                                     size_t &disk_pq_dims);
+template DISKANN_DLLEXPORT void generate_disk_quantized_data<diskann::bfloat16>(
+    const std::string &data_file_to_use, const std::string &disk_pq_pivots_path,
+    const std::string &disk_pq_compressed_vectors_path, diskann::Metric compareMetric, const double p_val,
+    size_t &disk_pq_dims);
 
 template DISKANN_DLLEXPORT void generate_quantized_data<int8_t>(const std::string &data_file_to_use,
                                                                 const std::string &pq_pivots_path,
@@ -1186,4 +1194,8 @@ template DISKANN_DLLEXPORT void generate_quantized_data<float>(const std::string
                                                                diskann::Metric compareMetric, const double p_val,
                                                                const size_t num_pq_chunks, const bool use_opq,
                                                                const std::string &codebook_prefix);
+template DISKANN_DLLEXPORT void generate_quantized_data<diskann::bfloat16>(
+    const std::string &data_file_to_use, const std::string &pq_pivots_path, const std::string &pq_compressed_vectors_path,
+    diskann::Metric compareMetric, const double p_val, const size_t num_pq_chunks, const bool use_opq,
+    const std::string &codebook_prefix);
 } // namespace diskann
diff --git a/src/pq_data_store.cpp b/src/pq_data_store.cpp
index c47c16705..e5058078f 100644
--- a/src/pq_data_store.cpp
+++ b/src/pq_data_store.cpp
@@ -5,6 +5,7 @@
 #include "pq_scratch.h"
 #include "utils.h"
 #include "distance.h"
+#include "bfloat16.h"
 
 namespace diskann
 {
@@ -256,5 +257,6 @@ template <typename data_t> location_t PQDataStore<data_t>::load_impl(AlignedFile
 template DISKANN_DLLEXPORT class PQDataStore<int8_t>;
 template DISKANN_DLLEXPORT class PQDataStore<float>;
 template DISKANN_DLLEXPORT class PQDataStore<uint8_t>;
+template DISKANN_DLLEXPORT class PQDataStore<diskann::bfloat16>;
 
 } // namespace diskann
\ No newline at end of file
diff --git a/src/pq_flash_index.cpp b/src/pq_flash_index.cpp
index d9ad50617..10fd65908 100644
--- a/src/pq_flash_index.cpp
+++ b/src/pq_flash_index.cpp
@@ -22,9 +22,6 @@
 // sector # beyond the end of graph where data for id is present for reordering
 #define VECTOR_SECTOR_NO(id) (((uint64_t)(id)) / _nvecs_per_sector + _reorder_data_start_sector)
 
-// sector # beyond the end of graph where data for id is present for reordering
-#define VECTOR_SECTOR_OFFSET(id) ((((uint64_t)(id)) % _nvecs_per_sector) * _data_dim * sizeof(float))
-
 namespace diskann
 {
 
@@ -35,7 +32,7 @@ PQFlashIndex<T, LabelT>::PQFlashIndex(std::shared_ptr<AlignedFileReader> &fileRe
     diskann::Metric metric_to_invoke = m;
     if (m == diskann::Metric::COSINE || m == diskann::Metric::INNER_PRODUCT)
     {
-        if (std::is_floating_point<T>::value)
+        if (diskann::is_floating_point_like_v<T>)
         {
             diskann::cout << "Since data is floating point, we assume that it has been appropriately pre-processed "
                              "(normalization for cosine, and convert-to-l2 by adding extra dimension for MIPS). So we "
@@ -1031,6 +1028,8 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
     READ_U32(index_metadata, nr);
     READ_U32(index_metadata, nc);
 
+    const uint64_t metadata_u64_count = nr;
+
     uint64_t disk_nnodes;
     uint64_t disk_ndims; // can be disk PQ dim if disk_PQ is set to true
     READ_U64(index_metadata, disk_nnodes);
@@ -1083,6 +1082,17 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
         READ_U64(index_metadata, this->_reorder_data_start_sector);
         READ_U64(index_metadata, this->_ndims_reorder_vecs);
         READ_U64(index_metadata, this->_nvecs_per_sector);
+
+        // Newer indexes may also store the element size of reorder vectors.
+        // Older indexes always used float reorder data.
+        if (metadata_u64_count >= 13)
+        {
+            READ_U64(index_metadata, this->_reorder_bytes_per_element);
+        }
+        else
+        {
+            this->_reorder_bytes_per_element = sizeof(float);
+        }
     }
 
     diskann::cout << "Disk-Index File Meta-data: ";
@@ -1305,7 +1315,7 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
             query_norm += query1[i] * query1[i];
         }
         if (metric == diskann::Metric::INNER_PRODUCT)
-            aligned_query_T[this->_data_dim - 1] = 0;
+            aligned_query_T[this->_data_dim - 1] = (T)0.0f;
 
         query_norm = std::sqrt(query_norm);
 
@@ -1656,8 +1666,10 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
         {
             auto id = full_retset[i].id;
             // MULTISECTORFIX
-            auto location = (sector_scratch + i * defaults::SECTOR_LEN) + VECTOR_SECTOR_OFFSET(id);
-            full_retset[i].distance = _dist_cmp->compare(aligned_query_T, (T *)location, (uint32_t)this->_data_dim);
+            const uint64_t elem_offset =
+                ((uint64_t)id % _nvecs_per_sector) * _ndims_reorder_vecs * _reorder_bytes_per_element;
+            auto location = (sector_scratch + i * defaults::SECTOR_LEN) + elem_offset;
+            full_retset[i].distance = _dist_cmp->compare(aligned_query_T, (T *)location, (uint32_t)_ndims_reorder_vecs);
         }
 
         std::sort(full_retset.begin(), full_retset.end());
@@ -1786,8 +1798,10 @@ template <typename T, typename LabelT> std::uint64_t PQFlashIndex<T, LabelT>::ge
 template class PQFlashIndex<uint8_t>;
 template class PQFlashIndex<int8_t>;
 template class PQFlashIndex<float>;
+template class PQFlashIndex<diskann::bfloat16>;
 template class PQFlashIndex<uint8_t, uint16_t>;
 template class PQFlashIndex<int8_t, uint16_t>;
 template class PQFlashIndex<float, uint16_t>;
+template class PQFlashIndex<diskann::bfloat16, uint16_t>;
 
 } // namespace diskann
diff --git a/src/pq_l2_distance.cpp b/src/pq_l2_distance.cpp
index c08744c35..a352c3050 100644
--- a/src/pq_l2_distance.cpp
+++ b/src/pq_l2_distance.cpp
@@ -2,6 +2,7 @@
 #include "pq.h"
 #include "pq_l2_distance.h"
 #include "pq_scratch.h"
+#include "bfloat16.h"
 
 // block size for reading/processing large files and matrices in blocks
 #define BLOCK_SIZE 5000000
@@ -280,5 +281,6 @@ void PQL2Distance<data_t>::prepopulate_chunkwise_distances(const float *query_ve
 template DISKANN_DLLEXPORT class PQL2Distance<int8_t>;
 template DISKANN_DLLEXPORT class PQL2Distance<uint8_t>;
 template DISKANN_DLLEXPORT class PQL2Distance<float>;
+template DISKANN_DLLEXPORT class PQL2Distance<diskann::bfloat16>;
 
 } // namespace diskann
\ No newline at end of file

From d22536e86f4488d1f326e358910664fb27b24f3e Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Sun, 4 Jan 2026 12:20:44 +0800
Subject: [PATCH 04/13] del dir

---
 _smoke_bf16_fullprec_disk/base.bin             | Bin 128008 -> 0 bytes
 _smoke_bf16_fullprec_disk/gt                   | Bin 8008 -> 0 bytes
 _smoke_bf16_fullprec_disk/index_disk.index     | Bin 270336 -> 0 bytes
 .../index_pq_compressed.bin                    | Bin 64008 -> 0 bytes
 _smoke_bf16_fullprec_disk/index_pq_pivots.bin  | Bin 37148 -> 0 bytes
 .../index_sample_data.bin                      | Bin 13960 -> 0 bytes
 _smoke_bf16_fullprec_disk/index_sample_ids.bin | Bin 880 -> 0 bytes
 _smoke_bf16_fullprec_disk/query.bin            | Bin 6408 -> 0 bytes
 .../res_50_dists_float.bin                     | Bin 4008 -> 0 bytes
 .../res_50_idx_uint32.bin                      | Bin 4008 -> 0 bytes
 _smoke_bf16_ssd/base.bin                       | Bin 128008 -> 0 bytes
 _smoke_bf16_ssd/gt                             | Bin 8008 -> 0 bytes
 _smoke_bf16_ssd/index_disk.index               | Bin 290816 -> 0 bytes
 _smoke_bf16_ssd/index_disk.index_pq_pivots.bin | Bin 37052 -> 0 bytes
 _smoke_bf16_ssd/index_pq_compressed.bin        | Bin 64008 -> 0 bytes
 _smoke_bf16_ssd/index_pq_pivots.bin            | Bin 37148 -> 0 bytes
 _smoke_bf16_ssd/index_sample_data.bin          | Bin 13128 -> 0 bytes
 _smoke_bf16_ssd/index_sample_ids.bin           | Bin 828 -> 0 bytes
 _smoke_bf16_ssd/query.bin                      | Bin 6408 -> 0 bytes
 _smoke_bf16_ssd/res2_50_dists_float.bin        | Bin 4008 -> 0 bytes
 _smoke_bf16_ssd/res2_50_idx_uint32.bin         | Bin 4008 -> 0 bytes
 _smoke_bf16_ssd/res_50_dists_float.bin         | Bin 4008 -> 0 bytes
 _smoke_bf16_ssd/res_50_idx_uint32.bin          | Bin 4008 -> 0 bytes
 23 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 _smoke_bf16_fullprec_disk/base.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/gt
 delete mode 100644 _smoke_bf16_fullprec_disk/index_disk.index
 delete mode 100644 _smoke_bf16_fullprec_disk/index_pq_compressed.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/index_pq_pivots.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/index_sample_data.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/index_sample_ids.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/query.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/res_50_dists_float.bin
 delete mode 100644 _smoke_bf16_fullprec_disk/res_50_idx_uint32.bin
 delete mode 100644 _smoke_bf16_ssd/base.bin
 delete mode 100644 _smoke_bf16_ssd/gt
 delete mode 100644 _smoke_bf16_ssd/index_disk.index
 delete mode 100644 _smoke_bf16_ssd/index_disk.index_pq_pivots.bin
 delete mode 100644 _smoke_bf16_ssd/index_pq_compressed.bin
 delete mode 100644 _smoke_bf16_ssd/index_pq_pivots.bin
 delete mode 100644 _smoke_bf16_ssd/index_sample_data.bin
 delete mode 100644 _smoke_bf16_ssd/index_sample_ids.bin
 delete mode 100644 _smoke_bf16_ssd/query.bin
 delete mode 100644 _smoke_bf16_ssd/res2_50_dists_float.bin
 delete mode 100644 _smoke_bf16_ssd/res2_50_idx_uint32.bin
 delete mode 100644 _smoke_bf16_ssd/res_50_dists_float.bin
 delete mode 100644 _smoke_bf16_ssd/res_50_idx_uint32.bin

diff --git a/_smoke_bf16_fullprec_disk/base.bin b/_smoke_bf16_fullprec_disk/base.bin
deleted file mode 100644
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GIT binary patch
literal 0
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GIT binary patch
literal 0
HcmV?d00001

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diff --git a/_smoke_bf16_ssd/res2_50_idx_uint32.bin b/_smoke_bf16_ssd/res2_50_idx_uint32.bin
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diff --git a/_smoke_bf16_ssd/res_50_dists_float.bin b/_smoke_bf16_ssd/res_50_dists_float.bin
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diff --git a/_smoke_bf16_ssd/res_50_idx_uint32.bin b/_smoke_bf16_ssd/res_50_idx_uint32.bin
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GIT binary patch
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zoLRf2=F?qF)-^pjcTnED8S81-tWCZr`;|A+KDPPtw#RqNm-AT%pZKi*nS6`L%jKU7
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zyal_#=6zpJFD8HWKOu6)Pd%p2vo6K-c5rp{)LGUr^Gg5A9w+}vD0PzBYm&b^{tK}=
zpJT|}g+u0WW9Gy5m*j-cI(6pDeQ`e9JhqF){hM6N_YytdQ!92f%x8R8;eQvCUOS(B
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z<ZjKnb053&Q!kBT-(XMdQuei+{bBQFN+0OYpPYG<rtjr0p8|6seLLR``0Z>1;2)r0
zf~PL_$vq4HRJqf;E8(`W=iQrizL;E#2cNfl>T0l<{15vkdI;qXPc8O96Xdu9|B|f?
zwMN;iPAL0WPtQ9sy*@QOirmPTG17~(Uk!4c1Dl+=dxOn+%w3SYuaMJYb1w3KYBs8t
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O$)E2?&7@YcUjGM47xQQU


From 31ebb70b2a01eafce0bb411fee556f5ec0108133 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Mon, 5 Jan 2026 08:24:55 +0800
Subject: [PATCH 05/13] update to resolve bf16 build index issue

---
 include/utils.h | 12 +++++++++---
 src/pq.cpp      | 10 ++++------
 2 files changed, 13 insertions(+), 9 deletions(-)

diff --git a/include/utils.h b/include/utils.h
index 201981ea2..3b91d204a 100644
--- a/include/utils.h
+++ b/include/utils.h
@@ -869,7 +869,11 @@ template <typename T> float prepare_base_for_inner_products(const std::string in
 
     size_t BLOCK_SIZE = 100000;
     size_t block_size = npts <= BLOCK_SIZE ? npts : BLOCK_SIZE;
-    using OutT = std::conditional_t<std::is_same<T, diskann::bfloat16>::value, diskann::bfloat16, float>;
+    // IMPORTANT: output must preserve the same element type as the input.
+    // Disk index build/search reads the preprocessed file using the same T,
+    // so writing float32 here would corrupt bf16/int8 paths and can cause NaNs
+    // downstream (e.g., kmeans++ hanging in pivot selection).
+    using OutT = T;
 
     std::unique_ptr<T[]> in_block_data = std::make_unique<T[]>(block_size * in_dims);
     std::unique_ptr<OutT[]> out_block_data = std::make_unique<OutT[]>(block_size * out_dims);
@@ -889,7 +893,8 @@ template <typename T> float prepare_base_for_inner_products(const std::string in
         {
             for (uint64_t j = 0; j < in_dims; j++)
             {
-                norms[start_id + p] += in_block_data[p * in_dims + j] * in_block_data[p * in_dims + j];
+                const float v = (float)in_block_data[p * in_dims + j];
+                norms[start_id + p] += v * v;
             }
             max_norm = max_norm > norms[start_id + p] ? max_norm : norms[start_id + p];
         }
@@ -908,7 +913,8 @@ template <typename T> float prepare_base_for_inner_products(const std::string in
         {
             for (uint64_t j = 0; j < in_dims; j++)
             {
-                out_block_data[p * out_dims + j] = (OutT)((float)in_block_data[p * in_dims + j] / max_norm);
+                const float v = (float)in_block_data[p * in_dims + j];
+                out_block_data[p * out_dims + j] = (OutT)(v / max_norm);
             }
             float res = 1 - (norms[start_id + p] / (max_norm * max_norm));
             res = res <= 0 ? 0 : std::sqrt(res);
diff --git a/src/pq.cpp b/src/pq.cpp
index 9e059a8b0..33e1c1460 100644
--- a/src/pq.cpp
+++ b/src/pq.cpp
@@ -1082,12 +1082,10 @@ void generate_disk_quantized_data(const std::string &data_file_to_use, const std
     std::cout << "Compressing base for disk-PQ into " << disk_pq_dims << " chunks " << std::endl;
     generate_pq_pivots(train_data, train_size, (uint32_t)train_dim, 256, (uint32_t)disk_pq_dims, NUM_KMEANS_REPS_PQ,
                        disk_pq_pivots_path, false);
-    if (compareMetric == diskann::Metric::INNER_PRODUCT)
-        generate_pq_data_from_pivots<float>(data_file_to_use, 256, (uint32_t)disk_pq_dims, disk_pq_pivots_path,
-                                            disk_pq_compressed_vectors_path);
-    else
-        generate_pq_data_from_pivots<T>(data_file_to_use, 256, (uint32_t)disk_pq_dims, disk_pq_pivots_path,
-                                        disk_pq_compressed_vectors_path);
+    // For INNER_PRODUCT we may preprocess the base vectors into a temp file. That temp file must be
+    // read using the same element type that was written (T). Historically this was always float.
+    generate_pq_data_from_pivots<T>(data_file_to_use, 256, (uint32_t)disk_pq_dims, disk_pq_pivots_path,
+                                    disk_pq_compressed_vectors_path);
 
     delete[] train_data;
 }

From 567dac01185a05711616d3e408fc199a1883668d Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 6 Jan 2026 09:14:56 +0800
Subject: [PATCH 06/13] update

---
 .gitignore                             |   1 +
 README.md                              |  47 ++++
 include/bf16_amx_kernels.h             |  27 +++
 scripts/consistency/run_consistency.sh |  13 +-
 src/CMakeLists.txt                     |  38 ++++
 src/bf16_amx_kernels.cpp               | 287 +++++++++++++++++++++++++
 src/distance.cpp                       |   6 +
 src/pq_flash_index.cpp                 |  74 ++++++-
 8 files changed, 484 insertions(+), 9 deletions(-)
 create mode 100644 include/bf16_amx_kernels.h
 create mode 100644 src/bf16_amx_kernels.cpp

diff --git a/.gitignore b/.gitignore
index f80e5c682..b6babdb0f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -357,6 +357,7 @@ MigrationBackup/
 cscope*
 
 build/
+build-*/
 build_linux/
 !.github/actions/build
 
diff --git a/README.md b/README.md
index 82135a497..8ec4cf35c 100644
--- a/README.md
+++ b/README.md
@@ -73,6 +73,53 @@ You can control this with the following CMake options (non-MSVC builds):
     cmake --build build -j
     ```
 
+### AMX BF16 (optional acceleration)
+
+DiskANN includes an optional AMX BF16-accelerated kernel for `bf16` inner-product computations.
+
+- Compile-time: the AMX BF16 kernel is enabled only when the compiler supports the required flags; it is compiled for a single source file (`src/bf16_amx_kernels.cpp`) so the rest of the project is not forced to use AMX.
+- Runtime: `bf16` distance code automatically dispatches to the AMX kernel only when the running CPU/OS supports AMX and the current thread is permitted to use AMX tile state (Linux `arch_prctl` request). If unavailable, it falls back to AVX-512 BF16 (if enabled) and then scalar.
+
+You can control this with the following CMake options (non-MSVC builds):
+
+- Default (try to enable when supported):
+    ```bash
+    cmake -S . -B build-amx -DCMAKE_BUILD_TYPE=Release -DDISKANN_AMXBF16=ON
+    cmake --build build-amx -j
+    ```
+- Force disable:
+    ```bash
+    cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DDISKANN_AMXBF16=OFF
+    cmake --build build -j
+    ```
+- Force enable (fail configure if compiler does not support AMX flags):
+    ```bash
+    cmake -S . -B build-amx -DCMAKE_BUILD_TYPE=Release -DDISKANN_FORCE_AMXBF16=ON
+    cmake --build build-amx -j
+    ```
+
+### AVX-512 vs AMX (build one or the other)
+
+If you want to do a strict A/B build where only one ISA path is compiled/used, configure two separate build directories.
+
+- AVX-512 BF16 only (no AMX codegen):
+        ```bash
+        cmake -S . -B build-avx512 -DCMAKE_BUILD_TYPE=Release \
+            -DDISKANN_FORCE_AVX512BF16=ON \
+            -DDISKANN_AMXBF16=OFF
+        cmake --build build-avx512 -j
+        ```
+
+- AMX BF16 only (no AVX-512 BF16 code path):
+        ```bash
+        cmake -S . -B build-amx -DCMAKE_BUILD_TYPE=Release \
+            -DDISKANN_FORCE_AMXBF16=ON \
+            -DDISKANN_AVX512BF16=OFF
+        cmake --build build-amx -j
+        ```
+
+Note: some toolchains/build scripts add global `-march=native`. When AMX is disabled (`-DDISKANN_AMXBF16=OFF`), DiskANN explicitly compiles the AMX translation unit with `-mno-amx-tile`/`-mno-amx-bf16` (when supported) to avoid accidentally emitting AMX instructions.
+
 ## Windows build:
 
 The Windows version has been tested with Enterprise editions of Visual Studio 2022, 2019 and 2017. It should work with the Community and Professional editions as well without any changes. 
diff --git a/include/bf16_amx_kernels.h b/include/bf16_amx_kernels.h
new file mode 100644
index 000000000..711757d75
--- /dev/null
+++ b/include/bf16_amx_kernels.h
@@ -0,0 +1,27 @@
+#pragma once
+
+#include <cstdint>
+
+#include "bfloat16.h"
+
+namespace diskann
+{
+// Returns true if this build produced AMX BF16 kernels (i.e. the compiler supported
+// AMX BF16 intrinsics for the relevant translation unit).
+bool amxbf16_kernels_compiled();
+
+// Returns true if the current CPU + OS context is capable of executing AMX BF16 instructions.
+// This performs feature detection (CPUID + XCR0) and checks / requests Linux permissions when needed.
+bool amxbf16_runtime_available();
+
+// Dot product of bf16 vectors with f32 accumulation using AMX BF16.
+// If AMX BF16 is not available at runtime, this falls back to a scalar implementation.
+float bf16_dot_f32_accum_amx(const bfloat16 *a, const bfloat16 *b, uint32_t length);
+
+// Batch dot products: computes out[i] = dot(base[i], query) for i in [0, n_vecs).
+// base is a row-major matrix of shape [n_vecs x dim].
+// If AMX BF16 is not available at runtime, this falls back to a scalar implementation.
+void bf16_dot_f32_accum_amx_batch(const bfloat16 *base, const bfloat16 *query, uint32_t n_vecs, uint32_t dim,
+								 float *out);
+
+} // namespace diskann
diff --git a/scripts/consistency/run_consistency.sh b/scripts/consistency/run_consistency.sh
index 950f5d5ec..16e6e169e 100755
--- a/scripts/consistency/run_consistency.sh
+++ b/scripts/consistency/run_consistency.sh
@@ -5,8 +5,17 @@ SCRIPT_DIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
 REPO_ROOT=$(cd "$SCRIPT_DIR/../.." && pwd)
 cd "$REPO_ROOT"
 
-if [ -d "build/apps" ]; then
-  BASE_PATH="build/apps"
+# if [ -d "build/apps" ]; then
+#   BASE_PATH="build/apps"
+# elif [ -d "build/tests" ]; then
+#   BASE_PATH="build/tests"
+# else
+#   echo "Error: could not find build outputs under build/apps or build/tests" >&2
+#   exit 2
+# fi
+
+if [ -d "build-amx/apps" ]; then
+  BASE_PATH="build-amx/apps"
 elif [ -d "build/tests" ]; then
   BASE_PATH="build/tests"
 else
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index d3136ff5c..78b7d5aed 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -15,6 +15,7 @@ else()
         natural_number_set.cpp memory_mapper.cpp partition.cpp pq.cpp
         pq_flash_index.cpp scratch.cpp logger.cpp utils.cpp filter_utils.cpp index_factory.cpp abstract_index.cpp pq_l2_distance.cpp pq_data_store.cpp)
     list(APPEND CPP_SOURCES bf16_simd_kernels.cpp)
+    list(APPEND CPP_SOURCES bf16_amx_kernels.cpp)
 
     include(CheckCXXCompilerFlag)
 
@@ -43,6 +44,43 @@ else()
         set_source_files_properties(bf16_simd_kernels.cpp PROPERTIES
             COMPILE_OPTIONS "-mavx512f;-mavx512bw;-mavx512vl;-mavx512dq;-mavx512bf16")
     endif()
+
+    # AMX BF16 kernels: compile-time optional, runtime dispatched.
+    # - DISKANN_AMXBF16 (default OFF): enable kernels when compiler supports required flags.
+    # - DISKANN_FORCE_AMXBF16 (default OFF): require kernels; fail configure if unsupported.
+    option(DISKANN_AMXBF16 "Enable AMX BF16 kernels when supported by compiler" OFF)
+    option(DISKANN_FORCE_AMXBF16 "Force AMX BF16 kernels; fail if unsupported" OFF)
+
+    check_cxx_compiler_flag("-mamx-tile" DISKANN_HAS_MAMX_TILE)
+    check_cxx_compiler_flag("-mamx-bf16" DISKANN_HAS_MAMX_BF16)
+    # Some builds may set global -march=native, which can implicitly enable AMX.
+    # When DISKANN_AMXBF16=OFF, we still want to avoid emitting any AMX instructions.
+    check_cxx_compiler_flag("-mno-amx-tile" DISKANN_HAS_MNO_AMX_TILE)
+    check_cxx_compiler_flag("-mno-amx-bf16" DISKANN_HAS_MNO_AMX_BF16)
+
+    set(DISKANN_ENABLE_AMXBF16_KERNELS OFF)
+    if (DISKANN_FORCE_AMXBF16)
+        if (NOT (DISKANN_HAS_MAMX_TILE AND DISKANN_HAS_MAMX_BF16))
+            message(FATAL_ERROR "DISKANN_FORCE_AMXBF16=ON but compiler does not support -mamx-tile and -mamx-bf16")
+        endif()
+        set(DISKANN_ENABLE_AMXBF16_KERNELS ON)
+    elseif (DISKANN_AMXBF16)
+        if (DISKANN_HAS_MAMX_TILE AND DISKANN_HAS_MAMX_BF16)
+            set(DISKANN_ENABLE_AMXBF16_KERNELS ON)
+        endif()
+    endif()
+
+    if (DISKANN_ENABLE_AMXBF16_KERNELS)
+        set_source_files_properties(bf16_amx_kernels.cpp PROPERTIES
+            COMPILE_OPTIONS "-mamx-tile;-mamx-bf16")
+    else()
+        # Explicitly disable AMX for this translation unit to prevent accidental
+        # enablement via global compiler flags such as -march=native.
+        if (DISKANN_HAS_MNO_AMX_TILE AND DISKANN_HAS_MNO_AMX_BF16)
+            set_source_files_properties(bf16_amx_kernels.cpp PROPERTIES
+                COMPILE_OPTIONS "-mno-amx-tile;-mno-amx-bf16")
+        endif()
+    endif()
     if (RESTAPI)
         list(APPEND CPP_SOURCES restapi/search_wrapper.cpp restapi/server.cpp)
     endif()
diff --git a/src/bf16_amx_kernels.cpp b/src/bf16_amx_kernels.cpp
new file mode 100644
index 000000000..2b96eb866
--- /dev/null
+++ b/src/bf16_amx_kernels.cpp
@@ -0,0 +1,287 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT license.
+
+#include "bf16_amx_kernels.h"
+
+#include <cstddef>
+#include <cstdint>
+#include <cstring>
+#include <algorithm>
+
+#if defined(__linux__) && (defined(__x86_64__) || defined(__i386__))
+#include <cpuid.h>
+#include <sys/syscall.h>
+#include <unistd.h>
+#endif
+
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+#include <immintrin.h>
+#endif
+
+namespace diskann
+{
+
+static inline float bf16_dot_scalar(const bfloat16 *a, const bfloat16 *b, uint32_t length)
+{
+    float dot = 0.0f;
+#ifndef _WINDOWS
+#pragma omp simd reduction(+ : dot) aligned(a, b : 8)
+#endif
+    for (int32_t i = 0; i < (int32_t)length; i++)
+    {
+        dot += a[i].to_float() * b[i].to_float();
+    }
+    return dot;
+}
+
+#if defined(__linux__) && (defined(__x86_64__) || defined(__i386__))
+
+static inline uint64_t xgetbv_u32(uint32_t index)
+{
+    uint32_t eax = 0, edx = 0;
+    __asm__ volatile("xgetbv" : "=a"(eax), "=d"(edx) : "c"(index));
+    return (static_cast<uint64_t>(edx) << 32) | eax;
+}
+
+static inline bool cpu_has_osxsave()
+{
+    unsigned int eax = 0, ebx = 0, ecx = 0, edx = 0;
+    if (!__get_cpuid(1, &eax, &ebx, &ecx, &edx))
+        return false;
+    return (ecx & (1u << 27)) != 0; // OSXSAVE
+}
+
+static inline bool cpu_has_amx_bf16_hw()
+{
+    if (__get_cpuid_max(0, nullptr) < 7)
+        return false;
+
+    unsigned int eax = 0, ebx = 0, ecx = 0, edx = 0;
+    __cpuid_count(7, 0, eax, ebx, ecx, edx);
+
+    // Structured Extended Feature Flags Enumeration Leaf (CPUID.07H:EDX)
+    // - AMX_BF16: EDX[22]
+    // - AMX_TILE: EDX[24]
+    const bool has_amx_bf16 = (edx & (1u << 22)) != 0;
+    const bool has_amx_tile = (edx & (1u << 24)) != 0;
+    return has_amx_bf16 && has_amx_tile;
+}
+
+static inline bool os_xcr0_allows_amx_state()
+{
+    if (!cpu_has_osxsave())
+        return false;
+
+    // XCR0 bits:
+    // - 17: XTILECFG
+    // - 18: XTILEDATA
+    const uint64_t xcr0 = xgetbv_u32(0);
+    const uint64_t kAmxMask = (1ULL << 17) | (1ULL << 18);
+    return (xcr0 & kAmxMask) == kAmxMask;
+}
+
+// Linux xstate permission request.
+// Keep local constants to avoid depending on kernel UAPI headers.
+static constexpr unsigned long kXfeatureXtilecfg = 17;
+static constexpr unsigned long kXfeatureXtiledData = 18;
+static constexpr unsigned long kXfeatureMaskXtilecfg = (1UL << kXfeatureXtilecfg);
+static constexpr unsigned long kXfeatureMaskXtiledData = (1UL << kXfeatureXtiledData);
+static constexpr unsigned long kArchGetXcompPerm = 0x1022;
+static constexpr unsigned long kArchReqXcompPerm = 0x1023;
+
+static inline bool request_linux_amx_perm_this_thread()
+{
+    unsigned long bitmask = 0;
+    long status = syscall(SYS_arch_prctl, kArchGetXcompPerm, &bitmask);
+    if (status != 0)
+        return false;
+
+    if ((bitmask & kXfeatureMaskXtiledData) != 0)
+        return true;
+
+    status = syscall(SYS_arch_prctl, kArchReqXcompPerm, kXfeatureXtiledData);
+    if (status != 0)
+        return false;
+
+    bitmask = 0;
+    status = syscall(SYS_arch_prctl, kArchGetXcompPerm, &bitmask);
+    if (status != 0)
+        return false;
+
+    return (bitmask & kXfeatureMaskXtiledData) != 0;
+}
+
+static inline bool amx_bf16_runtime_available_impl()
+{
+    if (!cpu_has_amx_bf16_hw())
+        return false;
+    if (!os_xcr0_allows_amx_state())
+        return false;
+
+    // Linux additionally requires per-thread permission before first AMX use.
+    return request_linux_amx_perm_this_thread();
+}
+
+#else
+
+static inline bool amx_bf16_runtime_available_impl()
+{
+    return false;
+}
+
+#endif
+
+bool amxbf16_kernels_compiled()
+{
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    return true;
+#else
+    return false;
+#endif
+}
+
+bool amxbf16_runtime_available()
+{
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    static thread_local int state = 0; // 0 unknown, 1 ok, -1 no
+    if (state == 0)
+        state = amx_bf16_runtime_available_impl() ? 1 : -1;
+    return state == 1;
+#else
+    return false;
+#endif
+}
+
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+
+static inline void bf16_dot_amx_query_batch_impl(const bfloat16 *base,
+                                                 const bfloat16 *query,
+                                                 const uint32_t n_vecs,
+                                                 const uint32_t dim,
+                                                 float *out)
+{
+    // Process 32 bf16 elements per AMX dpbf16ps step.
+    constexpr uint32_t kStep = 32;
+    const uint32_t blockCount = dim / kStep;
+    const uint32_t tailCount = dim % kStep;
+
+    // Tile config cache (per-thread) parameterized by A_rows.
+    // A: [A_rows x 64B], B: [16 x 4B], C: [A_rows x 4B]
+    alignas(64) static thread_local unsigned char cfg[64];
+    static thread_local int prevA = -1;
+
+    const int A_rows = static_cast<int>(n_vecs);
+    const int N = 1;
+    const int A_colsb = static_cast<int>(kStep * 2); // 64
+    const int B_colsb = N * 4;                       // 4 bytes per row (2 bf16)
+    const int B_rows = static_cast<int>(kStep / 2);  // 16 rows
+    const int C_rows = A_rows;
+    const int C_colsb = N * 4; // 4
+
+    if (prevA != A_rows)
+    {
+        std::memset(cfg, 0, sizeof(cfg));
+        cfg[0] = 1;
+
+        // tile0: A
+        cfg[16] = (unsigned char)A_colsb;
+        cfg[48] = (unsigned char)A_rows;
+
+        // tile1: B
+        cfg[18] = (unsigned char)B_colsb;
+        cfg[49] = (unsigned char)B_rows;
+
+        // tile2: C
+        cfg[20] = (unsigned char)C_colsb;
+        cfg[50] = (unsigned char)C_rows;
+
+        _tile_loadconfig((void *)cfg);
+        prevA = A_rows;
+    }
+
+    _tile_zero(2);
+
+    const int a_stride = static_cast<int>(dim * sizeof(bfloat16));
+
+    for (uint32_t blk = 0; blk < blockCount; ++blk)
+    {
+        const uint32_t elem_off = blk * kStep;
+        _tile_loadd(0, (const void *)(base + elem_off), a_stride);
+        _tile_loadd(1, (const void *)(query + elem_off), 4);
+        _tile_dpbf16ps(2, 0, 1);
+    }
+
+    // Store results: N=1, stride=4 bytes => out[0..A_rows-1]
+    _tile_stored(2, (void *)out, 4);
+
+    // Tail correction (dim % 32)
+    if (tailCount != 0)
+    {
+        const uint32_t base_elem = blockCount * kStep;
+        for (uint32_t r = 0; r < n_vecs; ++r)
+        {
+            out[r] += bf16_dot_scalar(base + r * dim + base_elem, query + base_elem, tailCount);
+        }
+    }
+}
+
+#endif
+
+float bf16_dot_f32_accum_amx(const bfloat16 *a, const bfloat16 *b, uint32_t length)
+{
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    if (!amxbf16_runtime_available())
+        return bf16_dot_scalar(a, b, length);
+
+    // Avoid AMX overhead for tiny vectors.
+    if (length < 256)
+        return bf16_dot_scalar(a, b, length);
+
+    float out = 0.0f;
+    bf16_dot_amx_query_batch_impl(a, b, 1, length, &out);
+    return out;
+#else
+    return bf16_dot_scalar(a, b, length);
+#endif
+}
+
+void bf16_dot_f32_accum_amx_batch(const bfloat16 *base,
+                                 const bfloat16 *query,
+                                 uint32_t n_vecs,
+                                 uint32_t dim,
+                                 float *out)
+{
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    if (!amxbf16_runtime_available())
+    {
+        for (uint32_t i = 0; i < n_vecs; ++i)
+            out[i] = bf16_dot_scalar(base + i * dim, query, dim);
+        return;
+    }
+
+    // Avoid AMX overhead for tiny batches or tiny dims.
+    if (n_vecs == 0)
+        return;
+    if (dim < 256)
+    {
+        for (uint32_t i = 0; i < n_vecs; ++i)
+            out[i] = bf16_dot_scalar(base + i * dim, query, dim);
+        return;
+    }
+
+    // Kernel supports up to 16 rows per tile.
+    constexpr uint32_t kMaxRows = 16;
+    uint32_t offset = 0;
+    while (offset < n_vecs)
+    {
+        const uint32_t cur = std::min(kMaxRows, n_vecs - offset);
+        bf16_dot_amx_query_batch_impl(base + offset * dim, query, cur, dim, out + offset);
+        offset += cur;
+    }
+#else
+    for (uint32_t i = 0; i < n_vecs; ++i)
+        out[i] = bf16_dot_scalar(base + i * dim, query, dim);
+#endif
+}
+
+} // namespace diskann
diff --git a/src/distance.cpp b/src/distance.cpp
index 50f52b3b4..968524856 100644
--- a/src/distance.cpp
+++ b/src/distance.cpp
@@ -16,6 +16,7 @@
 
 #include "distance.h"
 #include "bf16_simd_kernels.h"
+#include "bf16_amx_kernels.h"
 #include "utils.h"
 #include "logger.h"
 #include "ann_exception.h"
@@ -74,6 +75,11 @@ float DistanceCosineBFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint
 
 float DistanceInnerProductBFloat16::compare(const bfloat16 *a, const bfloat16 *b, uint32_t length) const
 {
+    if (amxbf16_kernels_compiled() && amxbf16_runtime_available())
+    {
+        return -bf16_dot_f32_accum_amx(a, b, length);
+    }
+
     if (Avx512Bf16SupportedCPU && avx512bf16_kernels_compiled())
     {
         return -bf16_dot_f32_accum(a, b, length);
diff --git a/src/pq_flash_index.cpp b/src/pq_flash_index.cpp
index 10fd65908..14468f0b3 100644
--- a/src/pq_flash_index.cpp
+++ b/src/pq_flash_index.cpp
@@ -9,6 +9,16 @@
 #include "pq_flash_index.h"
 #include "cosine_similarity.h"
 
+#include "bf16_amx_kernels.h"
+
+#include <mutex>
+
+namespace
+{
+std::once_flag g_reorder_amx_msg_once;
+std::once_flag g_reorder_std_msg_once;
+} // namespace
+
 #ifdef _WINDOWS
 #include "windows_aligned_file_reader.h"
 #else
@@ -1662,14 +1672,64 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
             stats->io_us += io_timer.elapsed();
         }
 
-        for (size_t i = 0; i < full_retset.size(); ++i)
+        // Fast-path for bf16 + INNER_PRODUCT: compute negative dot as distance in batch.
+        // This matches the rest of the MIPS code path which treats "distance" as -inner_product.
+        if (metric == diskann::Metric::INNER_PRODUCT && std::is_same<T, diskann::bfloat16>::value &&
+            _reorder_bytes_per_element == sizeof(diskann::bfloat16) && amxbf16_kernels_compiled() &&
+            amxbf16_runtime_available())
         {
-            auto id = full_retset[i].id;
-            // MULTISECTORFIX
-            const uint64_t elem_offset =
-                ((uint64_t)id % _nvecs_per_sector) * _ndims_reorder_vecs * _reorder_bytes_per_element;
-            auto location = (sector_scratch + i * defaults::SECTOR_LEN) + elem_offset;
-            full_retset[i].distance = _dist_cmp->compare(aligned_query_T, (T *)location, (uint32_t)_ndims_reorder_vecs);
+            const uint32_t dim = static_cast<uint32_t>(_ndims_reorder_vecs);
+            constexpr uint32_t kBatch = 16;
+
+            std::call_once(g_reorder_amx_msg_once, [&]() {
+                printf("Using AMX bf16 batched dot product for reordering distance computation (%zu vectors).\n",
+                       full_retset.size());
+                fflush(stdout);
+            });
+
+            std::vector<diskann::bfloat16> base_batch;
+            base_batch.resize(kBatch * dim);
+            alignas(64) float dots[kBatch];
+
+            for (size_t i = 0; i < full_retset.size(); i += kBatch)
+            {
+                const uint32_t cur = static_cast<uint32_t>(std::min<size_t>(kBatch, full_retset.size() - i));
+
+                for (uint32_t j = 0; j < cur; ++j)
+                {
+                    auto id = full_retset[i + j].id;
+                    const uint64_t elem_offset =
+                        ((uint64_t)id % _nvecs_per_sector) * _ndims_reorder_vecs * _reorder_bytes_per_element;
+                    auto location = (sector_scratch + (i + j) * defaults::SECTOR_LEN) + elem_offset;
+                    std::memcpy(base_batch.data() + j * dim, location, static_cast<size_t>(dim) * sizeof(diskann::bfloat16));
+                }
+
+                bf16_dot_f32_accum_amx_batch(base_batch.data(), (const diskann::bfloat16 *)aligned_query_T, cur, dim,
+                                             dots);
+
+                for (uint32_t j = 0; j < cur; ++j)
+                {
+                    full_retset[i + j].distance = -dots[j];
+                }
+            }
+        }
+        else
+        {
+            std::call_once(g_reorder_std_msg_once, [&]() {
+                printf("Using standard distance computation for reordering distance(%zu vectors).\n",
+                       full_retset.size());
+                fflush(stdout);
+            });
+            for (size_t i = 0; i < full_retset.size(); ++i)
+            {
+                auto id = full_retset[i].id;
+                // MULTISECTORFIX
+                const uint64_t elem_offset =
+                    ((uint64_t)id % _nvecs_per_sector) * _ndims_reorder_vecs * _reorder_bytes_per_element;
+                auto location = (sector_scratch + i * defaults::SECTOR_LEN) + elem_offset;
+                full_retset[i].distance =
+                    _dist_cmp->compare(aligned_query_T, (T *)location, (uint32_t)_ndims_reorder_vecs);
+            }
         }
 
         std::sort(full_retset.begin(), full_retset.end());

From 63f5984c64419b6b9af140c6c209c28b2ae7a922 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 6 Jan 2026 10:08:07 +0800
Subject: [PATCH 07/13] add batch amx queries

---
 include/bf16_amx_kernels.h |   6 ++
 src/bf16_amx_kernels.cpp   | 129 +++++++++++++++++++++++++++++++++++++
 2 files changed, 135 insertions(+)

diff --git a/include/bf16_amx_kernels.h b/include/bf16_amx_kernels.h
index 711757d75..f72d453e7 100644
--- a/include/bf16_amx_kernels.h
+++ b/include/bf16_amx_kernels.h
@@ -24,4 +24,10 @@ float bf16_dot_f32_accum_amx(const bfloat16 *a, const bfloat16 *b, uint32_t leng
 void bf16_dot_f32_accum_amx_batch(const bfloat16 *base, const bfloat16 *query, uint32_t n_vecs, uint32_t dim,
 								 float *out);
 
+// Matrix of dot products: out[i * n_queries + j] = dot(base[i], queries[j]).
+// base is row-major [n_base x dim], queries is row-major [n_queries x dim].
+// If AMX BF16 is not available at runtime, this falls back to a scalar implementation.
+void bf16_dot_f32_accum_amx_matmul(const bfloat16 *base, const bfloat16 *queries, uint32_t n_base, uint32_t n_queries,
+                                  uint32_t dim, float *out);
+
 } // namespace diskann
diff --git a/src/bf16_amx_kernels.cpp b/src/bf16_amx_kernels.cpp
index 2b96eb866..ee32202c5 100644
--- a/src/bf16_amx_kernels.cpp
+++ b/src/bf16_amx_kernels.cpp
@@ -284,4 +284,133 @@ void bf16_dot_f32_accum_amx_batch(const bfloat16 *base,
 #endif
 }
 
+void bf16_dot_f32_accum_amx_matmul(const bfloat16 *base,
+                                  const bfloat16 *queries,
+                                  uint32_t n_base,
+                                  uint32_t n_queries,
+                                  uint32_t dim,
+                                  float *out)
+{
+    if (n_base == 0 || n_queries == 0)
+        return;
+
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    if (!amxbf16_runtime_available() || dim < 256)
+    {
+        for (uint32_t i = 0; i < n_base; ++i)
+            for (uint32_t j = 0; j < n_queries; ++j)
+                out[i * n_queries + j] = bf16_dot_scalar(base + i * dim, queries + j * dim, dim);
+        return;
+    }
+
+    // We compute a (Mb x Nb) tile of C = A * B where:
+    // - A is [Mb x 32 bf16] (64 bytes per row)
+    // - B is [16 x (Nb*4) bytes] where each column is one query (packed as bf16), and 16 rows correspond to 32 bf16.
+    // - C is [Mb x (Nb*4) bytes] storing fp32 accumulators.
+    // This is a direct generalization of the existing N=1 kernel.
+    constexpr uint32_t kStep = 32;
+    const uint32_t blockCount = dim / kStep;
+    const uint32_t tailCount = dim % kStep;
+
+    constexpr uint32_t kMaxMb = 16; // tile row capacity (bytes_per_row=64)
+    constexpr uint32_t kMaxNb = 16; // keep B_colsb = Nb*4 within 64 bytes
+
+    alignas(64) static thread_local unsigned char cfg[64];
+    static thread_local int prevMb = -1;
+    static thread_local int prevNb = -1;
+
+    // Pack buffer for a B tile: [16 x (Nb*4) bytes].
+    // We will pack 32 bf16 from each query into 16 rows (each row holds 2 bf16 per query => 4 bytes).
+    alignas(64) static thread_local uint8_t bpack[16 * 64];
+    alignas(64) static thread_local float cbuf[16 * 16];
+
+    for (uint32_t i0 = 0; i0 < n_base; i0 += kMaxMb)
+    {
+        const uint32_t Mb = std::min<uint32_t>(kMaxMb, n_base - i0);
+        const int A_rows = static_cast<int>(Mb);
+        const int A_colsb = static_cast<int>(kStep * sizeof(bfloat16)); // 64
+
+        for (uint32_t j0 = 0; j0 < n_queries; j0 += kMaxNb)
+        {
+            const uint32_t Nb = std::min<uint32_t>(kMaxNb, n_queries - j0);
+            const int N = static_cast<int>(Nb);
+            const int B_colsb = N * 4;
+            const int B_rows = static_cast<int>(kStep / 2); // 16
+            const int C_rows = A_rows;
+            const int C_colsb = N * 4;
+
+            if (prevMb != A_rows || prevNb != N)
+            {
+                std::memset(cfg, 0, sizeof(cfg));
+                cfg[0] = 1;
+                // tile0: A
+                cfg[16] = (unsigned char)A_colsb;
+                cfg[48] = (unsigned char)A_rows;
+                // tile1: B
+                cfg[18] = (unsigned char)B_colsb;
+                cfg[49] = (unsigned char)B_rows;
+                // tile2: C
+                cfg[20] = (unsigned char)C_colsb;
+                cfg[50] = (unsigned char)C_rows;
+
+                _tile_loadconfig((void *)cfg);
+                prevMb = A_rows;
+                prevNb = N;
+            }
+
+            _tile_zero(2);
+
+            const int a_stride = static_cast<int>(dim * sizeof(bfloat16));
+
+            for (uint32_t blk = 0; blk < blockCount; ++blk)
+            {
+                const uint32_t elem_off = blk * kStep;
+
+                // Pack B for this block.
+                // Layout: bpack[row][col] where row in [0..15], col in bytes [0..B_colsb).
+                // For each query q, we take 32 bf16 starting at elem_off. For each pair (2 bf16)
+                // we write 4 bytes into bpack[row] at offset q*4.
+                const bfloat16 *qptr = queries + (j0 * dim) + elem_off;
+                for (uint32_t r = 0; r < 16; ++r)
+                {
+                    uint8_t *dst_row = bpack + r * 64;
+                    for (uint32_t q = 0; q < Nb; ++q)
+                    {
+                        const uint16_t *src16 = reinterpret_cast<const uint16_t *>(qptr + q * dim + (r * 2));
+                        std::memcpy(dst_row + q * 4, src16, 4);
+                    }
+                }
+
+                _tile_loadd(0, (const void *)(base + (i0 * dim) + elem_off), a_stride);
+                _tile_loadd(1, (const void *)bpack, 64);
+                _tile_dpbf16ps(2, 0, 1);
+            }
+
+            // Store C tile. C is [Mb x Nb] fp32 laid out with row stride (Nb*4 bytes).
+            _tile_stored(2, (void *)cbuf, (int)(Nb * sizeof(float)));
+
+            // Write out with tail correction.
+            for (uint32_t ii = 0; ii < Mb; ++ii)
+            {
+                for (uint32_t jj = 0; jj < Nb; ++jj)
+                {
+                    float v = cbuf[ii * Nb + jj];
+                    if (tailCount != 0)
+                    {
+                        const uint32_t base_elem = blockCount * kStep;
+                        v += bf16_dot_scalar(base + (i0 + ii) * dim + base_elem, queries + (j0 + jj) * dim + base_elem,
+                                             tailCount);
+                    }
+                    out[(i0 + ii) * n_queries + (j0 + jj)] = v;
+                }
+            }
+        }
+    }
+#else
+    for (uint32_t i = 0; i < n_base; ++i)
+        for (uint32_t j = 0; j < n_queries; ++j)
+            out[i * n_queries + j] = bf16_dot_scalar(base + i * dim, queries + j * dim, dim);
+#endif
+}
+
 } // namespace diskann

From 1fff2efc8cc1dd6d87561f6f122633157f44e8ff Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 6 Jan 2026 14:34:25 +0800
Subject: [PATCH 08/13] update for bf16 amx for build disk index

---
 include/abstract_data_store.h |   6 ++
 include/bf16_amx_kernels.h    |   8 ++
 include/in_mem_data_store.h   |   2 +
 src/bf16_amx_kernels.cpp      | 140 ++++++++++++++++++++++++++++++++++
 src/index.cpp                 |  86 ++++++++++++++++++++-
 5 files changed, 241 insertions(+), 1 deletion(-)

diff --git a/include/abstract_data_store.h b/include/abstract_data_store.h
index 89856f1fa..beaebb5dc 100644
--- a/include/abstract_data_store.h
+++ b/include/abstract_data_store.h
@@ -109,6 +109,12 @@ template <typename data_t> class AbstractDataStore
     // how to align the query vector in a consistent manner
     virtual size_t get_alignment_factor() const = 0;
 
+    // Optional: return a direct pointer to the underlying aligned, row-major data buffer.
+    // This is used for performance-sensitive paths (e.g., graph-build pruning) where
+    // callers can batch computations without repeatedly calling get_vector().
+    // Implementations that do not keep full-precision vectors in memory should return nullptr.
+    virtual const data_t *get_raw_data() const { return nullptr; }
+
   protected:
     // Expand the datastore to new_num_points. Returns the new capacity created,
     // which should be == new_num_points in the normal case. Implementers can also
diff --git a/include/bf16_amx_kernels.h b/include/bf16_amx_kernels.h
index f72d453e7..067d7a12f 100644
--- a/include/bf16_amx_kernels.h
+++ b/include/bf16_amx_kernels.h
@@ -30,4 +30,12 @@ void bf16_dot_f32_accum_amx_batch(const bfloat16 *base, const bfloat16 *query, u
 void bf16_dot_f32_accum_amx_matmul(const bfloat16 *base, const bfloat16 *queries, uint32_t n_base, uint32_t n_queries,
                                   uint32_t dim, float *out);
 
+// Matrix of dot products over gathered rows:
+// out[i * n_queries + j] = dot(data[base_ids[i]], data[query_ids[j]])
+// where each vector is length `dim` and consecutive vectors are `data_stride` elements apart.
+// If AMX BF16 is not available at runtime, this falls back to a scalar implementation.
+void bf16_dot_f32_accum_amx_matmul_gather(const bfloat16 *data, uint32_t data_stride, const uint32_t *base_ids,
+										 uint32_t n_base, const uint32_t *query_ids, uint32_t n_queries, uint32_t dim,
+										 float *out);
+
 } // namespace diskann
diff --git a/include/in_mem_data_store.h b/include/in_mem_data_store.h
index 0a0a617da..99ba2a2bc 100644
--- a/include/in_mem_data_store.h
+++ b/include/in_mem_data_store.h
@@ -62,6 +62,8 @@ template <typename data_t> class InMemDataStore : public AbstractDataStore<data_
 
     virtual size_t get_alignment_factor() const override;
 
+    virtual const data_t *get_raw_data() const override { return _data; }
+
   protected:
     virtual location_t expand(const location_t new_size) override;
     virtual location_t shrink(const location_t new_size) override;
diff --git a/src/bf16_amx_kernels.cpp b/src/bf16_amx_kernels.cpp
index ee32202c5..f46e8af55 100644
--- a/src/bf16_amx_kernels.cpp
+++ b/src/bf16_amx_kernels.cpp
@@ -413,4 +413,144 @@ void bf16_dot_f32_accum_amx_matmul(const bfloat16 *base,
 #endif
 }
 
+void bf16_dot_f32_accum_amx_matmul_gather(const bfloat16 *data,
+                                         uint32_t data_stride,
+                                         const uint32_t *base_ids,
+                                         uint32_t n_base,
+                                         const uint32_t *query_ids,
+                                         uint32_t n_queries,
+                                         uint32_t dim,
+                                         float *out)
+{
+    if (n_base == 0 || n_queries == 0)
+        return;
+
+#if defined(__AMX_TILE__) && defined(__AMX_BF16__)
+    if (!amxbf16_runtime_available() || dim < 256)
+    {
+        for (uint32_t i = 0; i < n_base; ++i)
+        {
+            const bfloat16 *a = data + (size_t)base_ids[i] * (size_t)data_stride;
+            for (uint32_t j = 0; j < n_queries; ++j)
+            {
+                const bfloat16 *b = data + (size_t)query_ids[j] * (size_t)data_stride;
+                out[i * n_queries + j] = bf16_dot_scalar(a, b, dim);
+            }
+        }
+        return;
+    }
+
+    constexpr uint32_t kStep = 32;
+    const uint32_t blockCount = dim / kStep;
+    const uint32_t tailCount = dim % kStep;
+
+    constexpr uint32_t kMaxMb = 16;
+    constexpr uint32_t kMaxNb = 16;
+
+    alignas(64) static thread_local unsigned char cfg[64];
+    static thread_local int prevMb = -1;
+    static thread_local int prevNb = -1;
+
+    alignas(64) static thread_local uint8_t apack[16 * 64];
+    alignas(64) static thread_local uint8_t bpack[16 * 64];
+    alignas(64) static thread_local float cbuf[16 * 16];
+
+    for (uint32_t i0 = 0; i0 < n_base; i0 += kMaxMb)
+    {
+        const uint32_t Mb = std::min<uint32_t>(kMaxMb, n_base - i0);
+        const int A_rows = static_cast<int>(Mb);
+        const int A_colsb = static_cast<int>(kStep * sizeof(bfloat16)); // 64
+
+        for (uint32_t j0 = 0; j0 < n_queries; j0 += kMaxNb)
+        {
+            const uint32_t Nb = std::min<uint32_t>(kMaxNb, n_queries - j0);
+            const int N = static_cast<int>(Nb);
+            const int B_colsb = N * 4;
+            const int B_rows = static_cast<int>(kStep / 2); // 16
+            const int C_rows = A_rows;
+            const int C_colsb = N * 4;
+
+            if (prevMb != A_rows || prevNb != N)
+            {
+                std::memset(cfg, 0, sizeof(cfg));
+                cfg[0] = 1;
+                // tile0: A
+                cfg[16] = (unsigned char)A_colsb;
+                cfg[48] = (unsigned char)A_rows;
+                // tile1: B
+                cfg[18] = (unsigned char)B_colsb;
+                cfg[49] = (unsigned char)B_rows;
+                // tile2: C
+                cfg[20] = (unsigned char)C_colsb;
+                cfg[50] = (unsigned char)C_rows;
+
+                _tile_loadconfig((void *)cfg);
+                prevMb = A_rows;
+                prevNb = N;
+            }
+
+            _tile_zero(2);
+
+            for (uint32_t blk = 0; blk < blockCount; ++blk)
+            {
+                const uint32_t elem_off = blk * kStep;
+
+                // Pack A rows for this block: apack[row][0..63] = 32 bf16
+                for (uint32_t r = 0; r < Mb; ++r)
+                {
+                    const bfloat16 *src = data + (size_t)base_ids[i0 + r] * (size_t)data_stride + elem_off;
+                    std::memcpy(apack + r * 64, src, 64);
+                }
+
+                // Pack B for this block.
+                for (uint32_t r = 0; r < 16; ++r)
+                {
+                    uint8_t *dst_row = bpack + r * 64;
+                    for (uint32_t q = 0; q < Nb; ++q)
+                    {
+                        const bfloat16 *srcq =
+                            data + (size_t)query_ids[j0 + q] * (size_t)data_stride + elem_off + (r * 2);
+                        const uint16_t *src16 = reinterpret_cast<const uint16_t *>(srcq);
+                        std::memcpy(dst_row + q * 4, src16, 4);
+                    }
+                }
+
+                _tile_loadd(0, (const void *)apack, 64);
+                _tile_loadd(1, (const void *)bpack, 64);
+                _tile_dpbf16ps(2, 0, 1);
+            }
+
+            _tile_stored(2, (void *)cbuf, (int)(Nb * sizeof(float)));
+
+            for (uint32_t ii = 0; ii < Mb; ++ii)
+            {
+                const bfloat16 *a_full = data + (size_t)base_ids[i0 + ii] * (size_t)data_stride;
+                for (uint32_t jj = 0; jj < Nb; ++jj)
+                {
+                    float v = cbuf[ii * Nb + jj];
+                    if (tailCount != 0)
+                    {
+                        const uint32_t base_elem = blockCount * kStep;
+                        const bfloat16 *b_full = data + (size_t)query_ids[j0 + jj] * (size_t)data_stride;
+                        v += bf16_dot_scalar(a_full + base_elem, b_full + base_elem, tailCount);
+                    }
+                    out[(i0 + ii) * n_queries + (j0 + jj)] = v;
+                }
+            }
+        }
+    }
+#else
+    (void)data_stride;
+    for (uint32_t i = 0; i < n_base; ++i)
+    {
+        const bfloat16 *a = data + (size_t)base_ids[i] * (size_t)data_stride;
+        for (uint32_t j = 0; j < n_queries; ++j)
+        {
+            const bfloat16 *b = data + (size_t)query_ids[j] * (size_t)data_stride;
+            out[i * n_queries + j] = bf16_dot_scalar(a, b, dim);
+        }
+    }
+#endif
+}
+
 } // namespace diskann
diff --git a/src/index.cpp b/src/index.cpp
index 2901bf468..102c8720b 100644
--- a/src/index.cpp
+++ b/src/index.cpp
@@ -3,6 +3,7 @@
 
 #include <omp.h>
 
+#include <cmath>
 #include <type_traits>
 
 #include "boost/dynamic_bitset.hpp"
@@ -22,6 +23,7 @@
 #endif
 
 #include "index.h"
+#include "bf16_amx_kernels.h"
 
 #define MAX_POINTS_FOR_USING_BITSET 10000000
 
@@ -1102,6 +1104,65 @@ void Index<T, TagT, LabelT>::occlude_list(const uint32_t location, std::vector<N
     // Initialize occlude_factor to pool.size() many 0.0f values for correctness
     occlude_factor.insert(occlude_factor.end(), pool.size(), 0.0f);
 
+    // AMX-only fast path for bf16 graph-build pruning:
+    // precompute an MxN matrix of pairwise dots for the candidate pool and use it
+    // to answer get_distance(iter2, iter) in O(1) during the nested loop.
+    // Non-AMX / non-bf16 / unsupported datastores fall back to the original logic.
+    const bool use_amx_mxn = [&]() {
+        if constexpr (!std::is_same_v<T, diskann::bfloat16>)
+        {
+            return false;
+        }
+        if (!((_dist_metric == diskann::Metric::L2) || (_dist_metric == diskann::Metric::COSINE)))
+        {
+            return false;
+        }
+        if (!(amxbf16_kernels_compiled() && amxbf16_runtime_available()))
+        {
+            return false;
+        }
+        if (_data_store == nullptr)
+        {
+            return false;
+        }
+        const T *raw = _data_store->get_raw_data();
+        return raw != nullptr;
+    }();
+
+    std::vector<uint32_t> candidate_ids;
+    std::vector<float> candidate_norms;
+    std::vector<float> candidate_dots;
+    size_t candidate_count = 0;
+    size_t aligned_dim = 0;
+
+    if (use_amx_mxn)
+    {
+        candidate_count = pool.size();
+        aligned_dim = _data_store->get_aligned_dim();
+        const diskann::bfloat16 *raw = reinterpret_cast<const diskann::bfloat16 *>(_data_store->get_raw_data());
+
+        candidate_ids.resize(candidate_count);
+        candidate_norms.resize(candidate_count);
+
+        for (size_t i = 0; i < candidate_count; ++i)
+        {
+            candidate_ids[i] = pool[i].id;
+            const diskann::bfloat16 *vec = raw + (static_cast<size_t>(candidate_ids[i]) * aligned_dim);
+            float norm = 0.0f;
+            for (size_t d = 0; d < aligned_dim; ++d)
+            {
+                const float v = vec[d].to_float();
+                norm += v * v;
+            }
+            candidate_norms[i] = norm;
+        }
+
+        candidate_dots.resize(candidate_count * candidate_count);
+        bf16_dot_f32_accum_amx_matmul_gather(raw, (uint32_t)aligned_dim, candidate_ids.data(), (uint32_t)candidate_count,
+                                             candidate_ids.data(), (uint32_t)candidate_count, (uint32_t)aligned_dim,
+                                             candidate_dots.data());
+    }
+
     float cur_alpha = 1;
     while (cur_alpha <= alpha && result.size() < degree)
     {
@@ -1155,7 +1216,30 @@ void Index<T, TagT, LabelT>::occlude_list(const uint32_t location, std::vector<N
                 if (!prune_allowed)
                     continue;
 
-                float djk = _data_store->get_distance(iter2->id, iter->id);
+                float djk = 0.0f;
+                if (use_amx_mxn)
+                {
+                    const size_t i = (size_t)(iter - pool.begin());
+                    const size_t j = (size_t)(iter2 - pool.begin());
+                    const float dot = candidate_dots[j * candidate_count + i];
+
+                    if (_dist_metric == diskann::Metric::L2)
+                    {
+                        djk = candidate_norms[i] + candidate_norms[j] - 2.0f * dot;
+                        if (djk < 0.0f)
+                            djk = 0.0f;
+                    }
+                    else
+                    {
+                        const float denom = std::sqrt(candidate_norms[i]) * std::sqrt(candidate_norms[j]);
+                        const float cos_sim = (denom > 0.0f) ? (dot / denom) : 0.0f;
+                        djk = 1.0f - cos_sim;
+                    }
+                }
+                else
+                {
+                    djk = _data_store->get_distance(iter2->id, iter->id);
+                }
                 if (_dist_metric == diskann::Metric::L2 || _dist_metric == diskann::Metric::COSINE)
                 {
                     occlude_factor[t] = (djk == 0) ? std::numeric_limits<float>::max()

From 060cd2b3bec9245d8729695fb8a7f70ca6927304 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Wed, 7 Jan 2026 15:27:49 +0800
Subject: [PATCH 09/13] update

---
 src/pq.cpp | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/pq.cpp b/src/pq.cpp
index 33e1c1460..837069210 100644
--- a/src/pq.cpp
+++ b/src/pq.cpp
@@ -259,6 +259,7 @@ void FixedChunkPQTable::populate_chunk_inner_products(const float *query_vec, fl
 {
     memset(dist_vec, 0, 256 * n_chunks * sizeof(float));
     // chunk wise distance computation
+
     for (size_t chunk = 0; chunk < n_chunks; chunk++)
     {
         // sum (q-c)^2 for the dimensions associated with this chunk

From 154ab2e71a31c71d393c8fcf5c22b9bb16b6f727 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 13 Jan 2026 09:49:26 +0800
Subject: [PATCH 10/13] Add RaBitQ codes support for SSD search

- Add RaBitQ encoding/scoring utilities and builder tool
- Optional RaBitQ reorder prefilter to prune reorder IO (INNER_PRODUCT)
- Optional RaBitQ main-search approximate scoring, gated by env var
- Support generating sidecar files during build_disk_index
---
 README.md                           |  54 ++++
 apps/CMakeLists.txt                 |   4 +
 apps/build_disk_index.cpp           |  25 +-
 apps/build_rabitq_reorder_codes.cpp | 141 +++++++++
 include/pq_flash_index.h            |  21 ++
 include/rabitq.h                    |  57 ++++
 src/CMakeLists.txt                  |   1 +
 src/disk_utils.cpp                  | 204 ++++++++++++-
 src/pq_flash_index.cpp              | 352 +++++++++++++++++++++-
 src/rabitq.cpp                      | 444 ++++++++++++++++++++++++++++
 10 files changed, 1296 insertions(+), 7 deletions(-)
 create mode 100644 apps/build_rabitq_reorder_codes.cpp
 create mode 100644 include/rabitq.h
 create mode 100644 src/rabitq.cpp

diff --git a/README.md b/README.md
index 8ec4cf35c..33b3fc114 100644
--- a/README.md
+++ b/README.md
@@ -120,6 +120,60 @@ If you want to do a strict A/B build where only one ISA path is compiled/used, c
 
 Note: some toolchains/build scripts add global `-march=native`. When AMX is disabled (`-DDISKANN_AMXBF16=OFF`), DiskANN explicitly compiles the AMX translation unit with `-mno-amx-tile`/`-mno-amx-bf16` (when supported) to avoid accidentally emitting AMX instructions.
 
+### RaBitQ multi-bit reorder prefilter (optional, runtime-gated)
+
+DiskANN includes an optional RaBitQ multi-bit–based *prefilter* to reduce IO during SSD reordering (the `use_reorder_data` path in `PQFlashIndex`) for **inner product** search.
+
+- Compile-time: the RaBitQ prefilter code is compiled into the DiskANN library and the helper tool is built as part of the normal build.
+    - Tool: `build_rabitq_reorder_codes`
+- Runtime: the prefilter is **disabled by default**. It is enabled only when all of the following are true:
+    - Environment variable `DISKANN_USE_RABITQ_REORDER_PREFILTER=1`
+    - Search metric is `INNER_PRODUCT`
+    - A RaBitQ reorder code file exists and loads successfully next to the disk index file
+
+#### Code file format and naming
+
+To use the prefilter, generate a sidecar file named:
+
+```text
+<index_filepath>_rabitq_reorder.bin
+```
+
+For example, if your SSD index file is `foo_disk.index`, the RaBitQ reorder code file should be `foo_disk.index_rabitq_reorder.bin`.
+
+Generate it with:
+
+```bash
+./build/apps/build_rabitq_reorder_codes \
+    --data_file <base_vectors.bin> \
+    --output_file <index_filepath>_rabitq_reorder.bin \
+    --metric ip \
+    --nb_bits 4
+```
+
+Alternatively, you can generate the sidecar automatically as part of disk index build (recommended for `mips`, since it guarantees the codes match the exact reorder vector space after any preprocessing/augmentation):
+
+```bash
+./build/apps/build_disk_index \
+    ... \
+    --dist_fn mips \
+    --PQ_disk_bytes <bytes> \
+    --append_reorder_data \
+    --build_rabitq_reorder_codes \
+    --rabitq_nb_bits 4
+```
+
+Note: the input vectors used to build these codes must match the vector space used for reordering (dimension and any preprocessing).
+
+#### Tuning
+
+- Enable/disable:
+    - Enable: `DISKANN_USE_RABITQ_REORDER_PREFILTER=1`
+    - Disable (default): unset or set to `0`
+- Candidate multiplier after prefilter (smaller = fewer IOs, potentially lower recall):
+    - `DISKANN_RABITQ_REORDER_PREFILTER_MULT=<int>`
+    - Default: uses the same multiplier as the standard reorder path (`FULL_PRECISION_REORDER_MULTIPLIER`, currently 3)
+
 ## Windows build:
 
 The Windows version has been tested with Enterprise editions of Visual Studio 2022, 2019 and 2017. It should work with the Community and Professional editions as well without any changes. 
diff --git a/apps/CMakeLists.txt b/apps/CMakeLists.txt
index e42c0b6cb..2831cdd7e 100644
--- a/apps/CMakeLists.txt
+++ b/apps/CMakeLists.txt
@@ -22,6 +22,9 @@ target_link_libraries(search_disk_index ${PROJECT_NAME} ${DISKANN_ASYNC_LIB} ${D
 add_executable(range_search_disk_index range_search_disk_index.cpp)
 target_link_libraries(range_search_disk_index ${PROJECT_NAME} ${DISKANN_ASYNC_LIB} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
 
+add_executable(build_rabitq_reorder_codes build_rabitq_reorder_codes.cpp)
+target_link_libraries(build_rabitq_reorder_codes ${PROJECT_NAME} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
+
 add_executable(test_streaming_scenario test_streaming_scenario.cpp)
 target_link_libraries(test_streaming_scenario ${PROJECT_NAME} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
 
@@ -35,6 +38,7 @@ if (NOT MSVC)
             build_disk_index
             search_disk_index
             range_search_disk_index
+            build_rabitq_reorder_codes
             test_streaming_scenario
             test_insert_deletes_consolidate
             RUNTIME
diff --git a/apps/build_disk_index.cpp b/apps/build_disk_index.cpp
index 95c4bc15c..17580a6cf 100644
--- a/apps/build_disk_index.cpp
+++ b/apps/build_disk_index.cpp
@@ -75,6 +75,9 @@ int main(int argc, char **argv)
     float B, M;
     bool append_reorder_data = false;
     bool use_opq = false;
+    bool build_rabitq_reorder_codes = false;
+        bool build_rabitq_main_codes = false;
+    uint32_t rabitq_nb_bits = 4;
 
     po::options_description desc{
         program_options_utils::make_program_description("build_disk_index", "Build a disk-based index.")};
@@ -117,6 +120,19 @@ int main(int argc, char **argv)
         optional_configs.add_options()("append_reorder_data", po::bool_switch()->default_value(false),
                                        "Include full precision data in the index. Use only in "
                                        "conjuction with compressed data on SSD.");
+
+            optional_configs.add_options()(
+                "build_rabitq_main_codes", po::bool_switch()->default_value(false),
+                "Generate RaBitQ main-search codes sidecar file (<index>_disk.index_rabitq_main.bin). "
+                "Only meaningful for dist_fn=mips.");
+
+        optional_configs.add_options()(
+            "build_rabitq_reorder_codes", po::bool_switch()->default_value(false),
+            "Generate RaBitQ reorder codes sidecar file (<index>_disk.index_rabitq_reorder.bin). "
+            "Only meaningful for dist_fn=mips with PQ_disk_bytes>0 and append_reorder_data.");
+
+        optional_configs.add_options()("rabitq_nb_bits", po::value<uint32_t>(&rabitq_nb_bits)->default_value(4),
+                                       "Bits per dimension for RaBitQ reorder codes (1..9)");
         optional_configs.add_options()("build_PQ_bytes", po::value<uint32_t>(&build_PQ)->default_value(0),
                                        program_options_utils::BUIlD_GRAPH_PQ_BYTES);
         optional_configs.add_options()("use_opq", po::bool_switch()->default_value(false),
@@ -148,6 +164,10 @@ int main(int argc, char **argv)
             append_reorder_data = true;
         if (vm["use_opq"].as<bool>())
             use_opq = true;
+        if (vm["build_rabitq_reorder_codes"].as<bool>())
+            build_rabitq_reorder_codes = true;
+            if (vm["build_rabitq_main_codes"].as<bool>())
+                build_rabitq_main_codes = true;
     }
     catch (const std::exception &ex)
     {
@@ -192,7 +212,10 @@ int main(int argc, char **argv)
                          std::string(std::to_string(B)) + " " + std::string(std::to_string(M)) + " " +
                          std::string(std::to_string(num_threads)) + " " + std::string(std::to_string(disk_PQ)) + " " +
                          std::string(std::to_string(append_reorder_data)) + " " +
-                         std::string(std::to_string(build_PQ)) + " " + std::string(std::to_string(QD));
+                         std::string(std::to_string(build_PQ)) + " " + std::string(std::to_string(QD)) + " " +
+                         std::string(std::to_string(build_rabitq_reorder_codes)) + " " +
+                         std::string(std::to_string(build_rabitq_main_codes)) + " " +
+                         std::string(std::to_string(rabitq_nb_bits));
 
     try
     {
diff --git a/apps/build_rabitq_reorder_codes.cpp b/apps/build_rabitq_reorder_codes.cpp
new file mode 100644
index 000000000..458780667
--- /dev/null
+++ b/apps/build_rabitq_reorder_codes.cpp
@@ -0,0 +1,141 @@
+#include <boost/program_options.hpp>
+
+#include <cassert>
+#include <cstdint>
+#include <fstream>
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include "rabitq.h"
+#include "utils.h"
+
+namespace po = boost::program_options;
+
+namespace
+{
+#pragma pack(push, 1)
+struct RaBitQReorderHeader
+{
+    char magic[8];
+    uint32_t version;
+    uint32_t metric;
+    uint32_t nb_bits;
+    uint32_t dim;
+    uint64_t num_points;
+    uint64_t code_size;
+};
+#pragma pack(pop)
+
+void write_header(std::ofstream &out, uint32_t metric, uint32_t nb_bits, uint32_t dim, uint64_t num_points,
+                  uint64_t code_size)
+{
+    RaBitQReorderHeader hdr;
+    std::memset(&hdr, 0, sizeof(hdr));
+    // "DARBQ1\0" for easy identification.
+    hdr.magic[0] = 'D';
+    hdr.magic[1] = 'A';
+    hdr.magic[2] = 'R';
+    hdr.magic[3] = 'B';
+    hdr.magic[4] = 'Q';
+    hdr.magic[5] = '1';
+    hdr.magic[6] = '\0';
+    hdr.magic[7] = '\0';
+    hdr.version = 1;
+    hdr.metric = metric;
+    hdr.nb_bits = nb_bits;
+    hdr.dim = dim;
+    hdr.num_points = num_points;
+    hdr.code_size = code_size;
+
+    out.write(reinterpret_cast<const char *>(&hdr), sizeof(hdr));
+}
+
+} // namespace
+
+int main(int argc, char **argv)
+{
+    std::string data_file;
+    std::string output_file;
+    uint32_t nb_bits = 4;
+    std::string metric_str = "ip";
+
+    po::options_description desc("build_rabitq_reorder_codes options");
+    desc.add_options()("help,h", "Show help")
+
+        ("data_file", po::value<std::string>(&data_file)->required(),
+         "Input base vectors in DiskANN .bin format (float32, n x d)")
+
+        ("output_file", po::value<std::string>(&output_file)->required(),
+         "Output RaBitQ reorder code file (to be loaded by PQFlashIndex)")
+
+        ("nb_bits", po::value<uint32_t>(&nb_bits)->default_value(4), "Bits per dimension (1..9)")
+
+        ("metric", po::value<std::string>(&metric_str)->default_value("ip"), "Metric: ip or l2");
+
+    po::variables_map vm;
+    try
+    {
+        po::store(po::parse_command_line(argc, argv, desc), vm);
+        if (vm.count("help"))
+        {
+            std::cout << desc << std::endl;
+            return 0;
+        }
+        po::notify(vm);
+    }
+    catch (const std::exception &e)
+    {
+        std::cerr << "Error: " << e.what() << std::endl;
+        std::cerr << desc << std::endl;
+        return 1;
+    }
+
+    if (nb_bits < 1 || nb_bits > 9)
+    {
+        std::cerr << "nb_bits must be in [1,9]" << std::endl;
+        return 1;
+    }
+
+    diskann::rabitq::Metric metric = diskann::rabitq::Metric::INNER_PRODUCT;
+    if (metric_str == "ip" || metric_str == "inner_product")
+        metric = diskann::rabitq::Metric::INNER_PRODUCT;
+    else if (metric_str == "l2")
+        metric = diskann::rabitq::Metric::L2;
+    else
+    {
+        std::cerr << "Unknown metric: " << metric_str << " (expected ip or l2)" << std::endl;
+        return 1;
+    }
+
+    uint64_t n = 0, d = 0;
+    std::unique_ptr<float[]> x;
+    diskann::load_bin<float>(data_file, x, n, d);
+
+    const uint64_t code_size = diskann::rabitq::compute_code_size(static_cast<size_t>(d), static_cast<size_t>(nb_bits));
+
+    std::vector<uint8_t> codes;
+    codes.resize(static_cast<size_t>(n * code_size));
+
+    for (uint64_t i = 0; i < n; ++i)
+    {
+        const float *row = x.get() + i * d;
+        uint8_t *out = codes.data() + i * code_size;
+        diskann::rabitq::encode_vector(row, static_cast<size_t>(d), metric, static_cast<size_t>(nb_bits), out);
+    }
+
+    std::ofstream out(output_file, std::ios::binary);
+    if (!out.is_open())
+    {
+        std::cerr << "Failed to open output_file: " << output_file << std::endl;
+        return 1;
+    }
+
+    write_header(out, static_cast<uint32_t>(metric), nb_bits, static_cast<uint32_t>(d), n, code_size);
+    out.write(reinterpret_cast<const char *>(codes.data()), static_cast<std::streamsize>(codes.size()));
+
+    std::cout << "Wrote RaBitQ reorder codes: n=" << n << " d=" << d << " nb_bits=" << nb_bits
+              << " code_size=" << code_size << " -> " << output_file << std::endl;
+
+    return 0;
+}
diff --git a/include/pq_flash_index.h b/include/pq_flash_index.h
index 2633f3b11..40e680089 100644
--- a/include/pq_flash_index.h
+++ b/include/pq_flash_index.h
@@ -159,6 +159,27 @@ template <typename T, typename LabelT = uint32_t> class PQFlashIndex
     uint64_t _nvecs_per_sector = 0;
     uint64_t _reorder_bytes_per_element = sizeof(float);
 
+    // Optional: RaBitQ multi-bit codes for reorder prefiltering.
+    // When present and enabled, we can prune reorder IO by scoring candidates
+    // using codes in memory before reading reorder vectors from disk.
+    bool _rabitq_reorder_codes_exist = false;
+    uint8_t *_rabitq_reorder_codes = nullptr;
+    uint64_t _rabitq_reorder_code_size = 0;
+    uint64_t _rabitq_reorder_dim = 0;
+    uint32_t _rabitq_reorder_nb_bits = 0;
+    uint32_t _rabitq_reorder_metric = 0;
+
+    // Optional: RaBitQ multi-bit codes for *main-search* approximate scoring.
+    // When enabled (runtime-gated), neighbor expansion scoring uses RaBitQ
+    // instead of PQ distance lookup, while preserving the PQ path as default.
+    bool _rabitq_main_codes_exist = false;
+    uint8_t *_rabitq_main_codes = nullptr;
+    uint64_t _rabitq_main_code_size = 0;
+    uint64_t _rabitq_main_dim = 0;
+    uint32_t _rabitq_main_nb_bits = 0;
+    uint32_t _rabitq_main_metric = 0;
+    bool _rabitq_main_codes_alias_reorder = false;
+
     diskann::Metric metric = diskann::Metric::L2;
 
     // used only for inner product search to re-scale the result value
diff --git a/include/rabitq.h b/include/rabitq.h
new file mode 100644
index 000000000..7e276afed
--- /dev/null
+++ b/include/rabitq.h
@@ -0,0 +1,57 @@
+#pragma once
+
+#include <cstddef>
+#include <cstdint>
+#include <vector>
+
+namespace diskann
+{
+namespace rabitq
+{
+
+enum class Metric : uint32_t
+{
+    L2 = 0,
+    INNER_PRODUCT = 1,
+};
+
+#pragma pack(push, 1)
+struct SignBitFactors
+{
+    float or_minus_c_l2sqr = 0;
+    float dp_multiplier = 0;
+};
+
+struct SignBitFactorsWithError : SignBitFactors
+{
+    float f_error = 0;
+};
+
+struct ExtraBitsFactors
+{
+    float f_add_ex = 0;
+    float f_rescale_ex = 0;
+};
+#pragma pack(pop)
+
+static_assert(sizeof(SignBitFactors) == 8, "Unexpected padding in SignBitFactors");
+static_assert(sizeof(SignBitFactorsWithError) == 12, "Unexpected padding in SignBitFactorsWithError");
+static_assert(sizeof(ExtraBitsFactors) == 8, "Unexpected padding in ExtraBitsFactors");
+
+size_t compute_code_size(size_t d, size_t nb_bits);
+
+// Encodes a single vector (assumes any rotation/centering is already applied externally).
+// Layout matches Faiss standard RaBitQ format:
+// - sign bits: (d+7)/8 bytes
+// - base factors: SignBitFactors (nb_bits==1) or SignBitFactorsWithError (nb_bits>1)
+// - ex_code: (d*(nb_bits-1)+7)/8 bytes (only when nb_bits>1)
+// - ex_factors: ExtraBitsFactors (only when nb_bits>1)
+void encode_vector(const float* x, size_t d, Metric metric, size_t nb_bits, uint8_t* out_code);
+
+// Approximate IP scorer.
+// Returns an approximate inner product (higher is better) computed from a multi-bit RaBitQ code.
+// For nb_bits==1, this returns a 1-bit estimate (still usable for prefilter).
+float approx_inner_product_from_code(const uint8_t* code, const float* query, size_t d, size_t nb_bits);
+
+} // namespace rabitq
+} // namespace diskann
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index 78b7d5aed..4225d3462 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -14,6 +14,7 @@ else()
         in_mem_data_store.cpp in_mem_graph_store.cpp
         natural_number_set.cpp memory_mapper.cpp partition.cpp pq.cpp
         pq_flash_index.cpp scratch.cpp logger.cpp utils.cpp filter_utils.cpp index_factory.cpp abstract_index.cpp pq_l2_distance.cpp pq_data_store.cpp)
+    list(APPEND CPP_SOURCES rabitq.cpp)
     list(APPEND CPP_SOURCES bf16_simd_kernels.cpp)
     list(APPEND CPP_SOURCES bf16_amx_kernels.cpp)
 
diff --git a/src/disk_utils.cpp b/src/disk_utils.cpp
index 802d1672d..034407c28 100644
--- a/src/disk_utils.cpp
+++ b/src/disk_utils.cpp
@@ -16,9 +16,129 @@
 #include "percentile_stats.h"
 #include "partition.h"
 #include "pq_flash_index.h"
+#include "rabitq.h"
 #include "timer.h"
 #include "tsl/robin_set.h"
 
+namespace
+{
+#pragma pack(push, 1)
+struct RaBitQReorderHeader
+{
+    char magic[8];
+    uint32_t version;
+    uint32_t metric;
+    uint32_t nb_bits;
+    uint32_t dim;
+    uint64_t num_points;
+    uint64_t code_size;
+};
+#pragma pack(pop)
+
+static void write_rabitq_reorder_header(std::ofstream &out, uint32_t metric, uint32_t nb_bits, uint32_t dim,
+                                       uint64_t num_points, uint64_t code_size)
+{
+    RaBitQReorderHeader hdr;
+    std::memset(&hdr, 0, sizeof(hdr));
+    hdr.magic[0] = 'D';
+    hdr.magic[1] = 'A';
+    hdr.magic[2] = 'R';
+    hdr.magic[3] = 'B';
+    hdr.magic[4] = 'Q';
+    hdr.magic[5] = '1';
+    hdr.magic[6] = '\0';
+    hdr.magic[7] = '\0';
+    hdr.version = 1;
+    hdr.metric = metric;
+    hdr.nb_bits = nb_bits;
+    hdr.dim = dim;
+    hdr.num_points = num_points;
+    hdr.code_size = code_size;
+    out.write(reinterpret_cast<const char *>(&hdr), sizeof(hdr));
+}
+
+template <typename T>
+static void generate_rabitq_reorder_codes_from_bin(const std::string &data_file_to_use, const std::string &output_file,
+                                                   diskann::rabitq::Metric metric, uint32_t nb_bits)
+{
+    std::ifstream in(data_file_to_use, std::ios::binary);
+    if (!in)
+    {
+        throw diskann::ANNException("Failed to open data file for RaBitQ code generation: " + data_file_to_use, -1);
+    }
+
+    uint32_t npts_u32 = 0, dim_u32 = 0;
+    in.read(reinterpret_cast<char *>(&npts_u32), sizeof(uint32_t));
+    in.read(reinterpret_cast<char *>(&dim_u32), sizeof(uint32_t));
+    if (!in)
+    {
+        throw diskann::ANNException("Failed reading header from data file for RaBitQ code generation: " +
+                                        data_file_to_use,
+                                    -1);
+    }
+
+    const uint64_t npts = npts_u32;
+    const uint64_t dim = dim_u32;
+    const uint64_t code_size =
+        diskann::rabitq::compute_code_size(static_cast<size_t>(dim), static_cast<size_t>(nb_bits));
+
+    std::ofstream out(output_file, std::ios::binary);
+    if (!out)
+    {
+        throw diskann::ANNException("Failed to open output file for RaBitQ code generation: " + output_file, -1);
+    }
+
+    write_rabitq_reorder_header(out, static_cast<uint32_t>(metric), nb_bits, dim_u32, npts, code_size);
+
+    if (npts == 0)
+        return;
+
+    const uint64_t kBlockPts = 100000;
+    const uint64_t block_pts = std::min<uint64_t>(kBlockPts, npts);
+    std::vector<T> in_block;
+    in_block.resize(static_cast<size_t>(block_pts * dim));
+
+    std::vector<uint8_t> out_codes;
+    out_codes.resize(static_cast<size_t>(block_pts * code_size));
+
+    std::vector<float> tmp;
+    tmp.resize(static_cast<size_t>(dim));
+
+    const uint64_t num_blocks = DIV_ROUND_UP(npts, block_pts);
+    for (uint64_t b = 0; b < num_blocks; ++b)
+    {
+        const uint64_t start_id = b * block_pts;
+        const uint64_t end_id = std::min<uint64_t>(npts, start_id + block_pts);
+        const uint64_t cur_pts = end_id - start_id;
+
+        in.read(reinterpret_cast<char *>(in_block.data()), static_cast<std::streamsize>(cur_pts * dim * sizeof(T)));
+        if (!in)
+        {
+            throw diskann::ANNException("Failed reading data payload from: " + data_file_to_use, -1);
+        }
+
+        for (uint64_t i = 0; i < cur_pts; ++i)
+        {
+            const T *row = in_block.data() + i * dim;
+            for (uint64_t j = 0; j < dim; ++j)
+            {
+                tmp[static_cast<size_t>(j)] = static_cast<float>(row[j]);
+            }
+            uint8_t *code = out_codes.data() + i * code_size;
+            diskann::rabitq::encode_vector(tmp.data(), static_cast<size_t>(dim), metric, static_cast<size_t>(nb_bits),
+                                           code);
+        }
+
+        out.write(reinterpret_cast<const char *>(out_codes.data()), static_cast<std::streamsize>(cur_pts * code_size));
+        if (!out)
+        {
+            throw diskann::ANNException("Failed writing RaBitQ codes to: " + output_file, -1);
+        }
+    }
+}
+
+} // namespace
+
 namespace diskann
 {
 
@@ -1132,7 +1252,7 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
     {
         param_list.push_back(cur_param);
     }
-    if (param_list.size() < 5 || param_list.size() > 9)
+    if (param_list.size() < 5 || param_list.size() > 12)
     {
         diskann::cout << "Correct usage of parameters is R (max degree)\n"
                          "L (indexing list size, better if >= R)\n"
@@ -1145,7 +1265,10 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
                          ": optional paramter, use only when using disk PQ\n"
                          "build_PQ_byte (number of PQ bytes for inde build; set 0 to use "
                          "full precision vectors)\n"
-                         "QD Quantized Dimension to overwrite the derived dim from B "
+                         "QD Quantized Dimension to overwrite the derived dim from B\n"
+                         "build_rabitq_reorder_codes (0/1, optional; generates <index>_disk.index_rabitq_reorder.bin)\n"
+                         "build_rabitq_main_codes (0/1, optional; generates <index>_disk.index_rabitq_main.bin)\n"
+                         "rabitq_nb_bits (1..9, optional; default 4)"
                       << std::endl;
         return -1;
     }
@@ -1189,6 +1312,28 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
         build_pq_bytes = atoi(param_list[7].c_str());
     }
 
+    bool build_rabitq_reorder_codes = false;
+    bool build_rabitq_main_codes = false;
+    uint32_t rabitq_nb_bits = 4;
+    if (param_list.size() >= 10)
+    {
+        if (1 == atoi(param_list[9].c_str()))
+        {
+            build_rabitq_reorder_codes = true;
+        }
+    }
+    if (param_list.size() >= 11)
+    {
+        if (1 == atoi(param_list[10].c_str()))
+        {
+            build_rabitq_main_codes = true;
+        }
+    }
+    if (param_list.size() >= 12)
+    {
+        rabitq_nb_bits = static_cast<uint32_t>(atoi(param_list[11].c_str()));
+    }
+
     std::string base_file(dataFilePath);
     std::string data_file_to_use = base_file;
     std::string labels_file_original = label_file;
@@ -1364,6 +1509,61 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
     }
     diskann::cout << timer.elapsed_seconds_for_step("generating disk layout") << std::endl;
 
+    if (build_rabitq_reorder_codes)
+    {
+        if (rabitq_nb_bits < 1 || rabitq_nb_bits > 9)
+        {
+            throw diskann::ANNException("rabitq_nb_bits must be in [1,9]", -1);
+        }
+        if (!reorder_data)
+        {
+            throw diskann::ANNException(
+                "Requested build_rabitq_reorder_codes but reorder flag is not enabled. "
+                "Enable append_reorder_data (reorder=1) to store reorder vectors.",
+                -1);
+        }
+        if (compareMetric != diskann::Metric::INNER_PRODUCT)
+        {
+            throw diskann::ANNException("RaBitQ reorder code generation is currently supported only for MIPS/IP.", -1);
+        }
+        if (!diskann::is_floating_point_like_v<T>)
+        {
+            throw diskann::ANNException("RaBitQ reorder code generation requires floating point data.", -1);
+        }
+
+        const std::string rabitq_codes_path = disk_index_path + "_rabitq_reorder.bin";
+        Timer rabitq_timer;
+        diskann::cout << "Generating RaBitQ reorder codes to " << rabitq_codes_path << " (nb_bits=" << rabitq_nb_bits
+                      << ")" << std::endl;
+        generate_rabitq_reorder_codes_from_bin<T>(data_file_to_use, rabitq_codes_path,
+                                                  diskann::rabitq::Metric::INNER_PRODUCT, rabitq_nb_bits);
+        diskann::cout << rabitq_timer.elapsed_seconds_for_step("generating rabitq reorder codes") << std::endl;
+    }
+
+    if (build_rabitq_main_codes)
+    {
+        if (rabitq_nb_bits < 1 || rabitq_nb_bits > 9)
+        {
+            throw diskann::ANNException("rabitq_nb_bits must be in [1,9]", -1);
+        }
+        if (compareMetric != diskann::Metric::INNER_PRODUCT)
+        {
+            throw diskann::ANNException("RaBitQ main code generation is currently supported only for MIPS/IP.", -1);
+        }
+        if (!diskann::is_floating_point_like_v<T>)
+        {
+            throw diskann::ANNException("RaBitQ main code generation requires floating point data.", -1);
+        }
+
+        const std::string rabitq_codes_path = disk_index_path + "_rabitq_main.bin";
+        Timer rabitq_timer;
+        diskann::cout << "Generating RaBitQ main codes to " << rabitq_codes_path << " (nb_bits=" << rabitq_nb_bits
+                      << ")" << std::endl;
+        generate_rabitq_reorder_codes_from_bin<T>(data_file_to_use, rabitq_codes_path,
+                                                  diskann::rabitq::Metric::INNER_PRODUCT, rabitq_nb_bits);
+        diskann::cout << rabitq_timer.elapsed_seconds_for_step("generating rabitq main codes") << std::endl;
+    }
+
     double ten_percent_points = std::ceil(points_num * 0.1);
     double num_sample_points =
         ten_percent_points > MAX_SAMPLE_POINTS_FOR_WARMUP ? MAX_SAMPLE_POINTS_FOR_WARMUP : ten_percent_points;
diff --git a/src/pq_flash_index.cpp b/src/pq_flash_index.cpp
index 14468f0b3..5d070a5e3 100644
--- a/src/pq_flash_index.cpp
+++ b/src/pq_flash_index.cpp
@@ -10,6 +10,7 @@
 #include "cosine_similarity.h"
 
 #include "bf16_amx_kernels.h"
+#include "rabitq.h"
 
 #include <mutex>
 
@@ -17,6 +18,7 @@ namespace
 {
 std::once_flag g_reorder_amx_msg_once;
 std::once_flag g_reorder_std_msg_once;
+std::once_flag g_main_rabitq_msg_once;
 } // namespace
 
 #ifdef _WINDOWS
@@ -104,6 +106,18 @@ template <typename T, typename LabelT> PQFlashIndex<T, LabelT>::~PQFlashIndex()
     {
         delete[] _medoids;
     }
+
+    if (_rabitq_reorder_codes != nullptr)
+    {
+        aligned_free(_rabitq_reorder_codes);
+        _rabitq_reorder_codes = nullptr;
+    }
+
+    if (_rabitq_main_codes != nullptr && !_rabitq_main_codes_alias_reorder)
+    {
+        aligned_free(_rabitq_main_codes);
+        _rabitq_main_codes = nullptr;
+    }
 }
 
 template <typename T, typename LabelT> inline uint64_t PQFlashIndex<T, LabelT>::get_node_sector(uint64_t node_id)
@@ -798,6 +812,14 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
     std::string medoids_file = std::string(_disk_index_file) + "_medoids.bin";
     std::string centroids_file = std::string(_disk_index_file) + "_centroids.bin";
 
+    // Optional: RaBitQ codes for reorder prefiltering. Stored alongside the disk index file.
+    // File name convention: <index_filepath>_rabitq_reorder.bin
+    std::string rabitq_reorder_file = std::string(_disk_index_file) + "_rabitq_reorder.bin";
+
+    // Optional: RaBitQ codes for main-search approximate scoring. Stored alongside the disk index file.
+    // File name convention: <index_filepath>_rabitq_main.bin
+    std::string rabitq_main_file = std::string(_disk_index_file) + "_rabitq_main.bin";
+
     std::string labels_file = std ::string(_disk_index_file) + "_labels.txt";
     std::string labels_to_medoids = std ::string(_disk_index_file) + "_labels_to_medoids.txt";
     std::string dummy_map_file = std ::string(_disk_index_file) + "_dummy_map.txt";
@@ -1125,6 +1147,252 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
 
 #endif
 
+    // Load RaBitQ reorder codes (optional)
+#ifndef EXEC_ENV_OLS
+    if (file_exists(rabitq_reorder_file))
+    {
+        struct RaBitQReorderHeader
+        {
+            char magic[8];
+            uint32_t version;
+            uint32_t metric;
+            uint32_t nb_bits;
+            uint32_t dim;
+            uint64_t num_points;
+            uint64_t code_size;
+        };
+
+        std::ifstream in(rabitq_reorder_file, std::ios::binary);
+        if (!in.is_open())
+        {
+            throw diskann::ANNException(std::string("Failed to open RaBitQ reorder code file ") + rabitq_reorder_file,
+                                        -1);
+        }
+
+        RaBitQReorderHeader hdr;
+        in.read(reinterpret_cast<char *>(&hdr), sizeof(hdr));
+        if (!in.good())
+        {
+            throw diskann::ANNException(std::string("Failed to read RaBitQ reorder code header from ") +
+                                            rabitq_reorder_file,
+                                        -1);
+        }
+
+        const std::string magic(hdr.magic, hdr.magic + 7);
+        if (magic != std::string("DARBQ1\0", 7) && magic != std::string("DARBQ1", 5))
+        {
+            throw diskann::ANNException(std::string("Invalid RaBitQ reorder code magic in ") + rabitq_reorder_file,
+                                        -1);
+        }
+
+        if (hdr.version != 1)
+        {
+            throw diskann::ANNException(std::string("Unsupported RaBitQ reorder code version in ") +
+                                            rabitq_reorder_file,
+                                        -1);
+        }
+
+        if (hdr.num_points != this->_num_points)
+        {
+            throw diskann::ANNException(std::string("RaBitQ reorder code file point count mismatch: ") +
+                                            std::to_string(hdr.num_points) + " vs index " +
+                                            std::to_string(this->_num_points),
+                                        -1);
+        }
+
+        if (hdr.code_size == 0 || hdr.dim == 0 || hdr.nb_bits < 1 || hdr.nb_bits > 9)
+        {
+            throw diskann::ANNException(std::string("Invalid RaBitQ reorder code header fields in ") +
+                                            rabitq_reorder_file,
+                                        -1);
+        }
+
+        const uint64_t expected_code_size =
+            static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
+        if (hdr.code_size != expected_code_size)
+        {
+            throw diskann::ANNException(std::string("RaBitQ reorder code_size mismatch in ") + rabitq_reorder_file +
+                                            ": header=" + std::to_string(hdr.code_size) +
+                                            " expected=" + std::to_string(expected_code_size),
+                                        -1);
+        }
+
+        // For safety, require code dim to match reorder vector dim (if reorder exists), otherwise allow.
+        if (this->_reorder_data_exists && hdr.dim != this->_ndims_reorder_vecs)
+        {
+            diskann::cout << "RaBitQ reorder dim (" << hdr.dim << ") does not match reorder vector dim ("
+                          << this->_ndims_reorder_vecs << "), disabling RaBitQ reorder prefilter." << std::endl;
+        }
+        else
+        {
+            const uint64_t total_bytes = hdr.num_points * hdr.code_size;
+            if (_rabitq_reorder_codes != nullptr)
+                aligned_free(_rabitq_reorder_codes);
+
+            const size_t alloc_bytes = static_cast<size_t>(ROUND_UP(total_bytes, 64));
+            diskann::alloc_aligned((void **)&_rabitq_reorder_codes, alloc_bytes, 64);
+            std::memset(_rabitq_reorder_codes, 0, alloc_bytes);
+
+            in.read(reinterpret_cast<char *>(_rabitq_reorder_codes), total_bytes);
+            if (!in.good())
+            {
+                aligned_free(_rabitq_reorder_codes);
+                _rabitq_reorder_codes = nullptr;
+                throw diskann::ANNException(std::string("Failed to read RaBitQ reorder codes from ") +
+                                                rabitq_reorder_file,
+                                            -1);
+            }
+
+            _rabitq_reorder_codes_exist = true;
+            _rabitq_reorder_code_size = hdr.code_size;
+            _rabitq_reorder_dim = hdr.dim;
+            _rabitq_reorder_nb_bits = hdr.nb_bits;
+            _rabitq_reorder_metric = hdr.metric;
+            diskann::cout << "Loaded RaBitQ reorder codes: nb_bits=" << _rabitq_reorder_nb_bits
+                          << " dim=" << _rabitq_reorder_dim << " code_size=" << _rabitq_reorder_code_size
+                          << " from " << rabitq_reorder_file << std::endl;
+        }
+    }
+#endif
+
+    // Load RaBitQ main-search codes (optional)
+#ifndef EXEC_ENV_OLS
+    {
+        const bool main_exists = file_exists(rabitq_main_file);
+        const bool reorder_exists = file_exists(rabitq_reorder_file);
+
+        // If no dedicated main file exists, prefer aliasing reorder codes (if already loaded)
+        // to avoid doubling memory.
+        if (!main_exists && reorder_exists && _rabitq_reorder_codes_exist && _rabitq_reorder_codes != nullptr &&
+            _rabitq_reorder_dim == this->_data_dim)
+        {
+            _rabitq_main_codes_exist = true;
+            _rabitq_main_codes = _rabitq_reorder_codes;
+            _rabitq_main_code_size = _rabitq_reorder_code_size;
+            _rabitq_main_dim = _rabitq_reorder_dim;
+            _rabitq_main_nb_bits = _rabitq_reorder_nb_bits;
+            _rabitq_main_metric = _rabitq_reorder_metric;
+            _rabitq_main_codes_alias_reorder = true;
+            diskann::cout << "RaBitQ main code file not found; aliasing reorder codes as main codes: "
+                          << rabitq_reorder_file << std::endl;
+        }
+        else
+        {
+            const std::string file_to_load = main_exists ? rabitq_main_file : (reorder_exists ? rabitq_reorder_file : std::string());
+            if (!file_to_load.empty())
+            {
+                struct RaBitQReorderHeader
+                {
+                    char magic[8];
+                    uint32_t version;
+                    uint32_t metric;
+                    uint32_t nb_bits;
+                    uint32_t dim;
+                    uint64_t num_points;
+                    uint64_t code_size;
+                };
+
+                std::ifstream in(file_to_load, std::ios::binary);
+                if (!in.is_open())
+                {
+                    throw diskann::ANNException(std::string("Failed to open RaBitQ main code file ") + file_to_load,
+                                                -1);
+                }
+
+                RaBitQReorderHeader hdr;
+                in.read(reinterpret_cast<char *>(&hdr), sizeof(hdr));
+                if (!in.good())
+                {
+                    throw diskann::ANNException(std::string("Failed to read RaBitQ main code header from ") +
+                                                    file_to_load,
+                                                -1);
+                }
+
+                const std::string magic(hdr.magic, hdr.magic + 7);
+                if (magic != std::string("DARBQ1\0", 7) && magic != std::string("DARBQ1", 5))
+                {
+                    throw diskann::ANNException(std::string("Invalid RaBitQ main code magic in ") + file_to_load, -1);
+                }
+
+                if (hdr.version != 1)
+                {
+                    throw diskann::ANNException(std::string("Unsupported RaBitQ main code version in ") +
+                                                    file_to_load,
+                                                -1);
+                }
+
+                if (hdr.num_points != this->_num_points)
+                {
+                    throw diskann::ANNException(std::string("RaBitQ main code file point count mismatch: ") +
+                                                    std::to_string(hdr.num_points) + " vs index " +
+                                                    std::to_string(this->_num_points),
+                                                -1);
+                }
+
+                if (hdr.dim != this->_data_dim)
+                {
+                    diskann::cout << "RaBitQ main code dim (" << hdr.dim << ") does not match index dim ("
+                                  << this->_data_dim << "), disabling RaBitQ main scoring." << std::endl;
+                }
+                else if (hdr.code_size == 0 || hdr.nb_bits < 1 || hdr.nb_bits > 9)
+                {
+                    throw diskann::ANNException(std::string("Invalid RaBitQ main code header fields in ") +
+                                                    file_to_load,
+                                                -1);
+                }
+                else
+                {
+                    const uint64_t expected_code_size =
+                        static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
+                    if (hdr.code_size != expected_code_size)
+                    {
+                        throw diskann::ANNException(std::string("RaBitQ main code_size mismatch in ") + file_to_load +
+                                                        ": header=" + std::to_string(hdr.code_size) +
+                                                        " expected=" + std::to_string(expected_code_size),
+                                                    -1);
+                    }
+
+                    const uint64_t total_bytes = hdr.num_points * hdr.code_size;
+
+                    if (_rabitq_main_codes != nullptr && !_rabitq_main_codes_alias_reorder)
+                        aligned_free(_rabitq_main_codes);
+
+                    _rabitq_main_codes_alias_reorder = false;
+                    const size_t alloc_bytes = static_cast<size_t>(ROUND_UP(total_bytes, 64));
+                    diskann::alloc_aligned((void **)&_rabitq_main_codes, alloc_bytes, 64);
+                    std::memset(_rabitq_main_codes, 0, alloc_bytes);
+
+                    in.read(reinterpret_cast<char *>(_rabitq_main_codes), total_bytes);
+                    if (!in.good())
+                    {
+                        aligned_free(_rabitq_main_codes);
+                        _rabitq_main_codes = nullptr;
+                        throw diskann::ANNException(std::string("Failed to read RaBitQ main codes from ") +
+                                                        file_to_load,
+                                                    -1);
+                    }
+
+                    _rabitq_main_codes_exist = true;
+                    _rabitq_main_code_size = hdr.code_size;
+                    _rabitq_main_dim = hdr.dim;
+                    _rabitq_main_nb_bits = hdr.nb_bits;
+                    _rabitq_main_metric = hdr.metric;
+
+                    if (!main_exists)
+                    {
+                        diskann::cout << "RaBitQ main code file not found; loaded reorder code file as main codes: "
+                                      << file_to_load << std::endl;
+                    }
+
+                    diskann::cout << "Loaded RaBitQ main codes: nb_bits=" << _rabitq_main_nb_bits
+                                  << " dim=" << _rabitq_main_dim << " code_size=" << _rabitq_main_code_size
+                                  << " from " << file_to_load << std::endl;
+                }
+            }
+        }
+    }
+#endif
+
 #ifdef EXEC_ENV_OLS
     if (files.fileExists(medoids_file))
     {
@@ -1364,11 +1632,48 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
     float *dist_scratch = pq_query_scratch->aligned_dist_scratch;
     uint8_t *pq_coord_scratch = pq_query_scratch->aligned_pq_coord_scratch;
 
+    const char *use_rabitq_main_env = std::getenv("DISKANN_USE_RABITQ_MAIN_APPROX");
+    const bool use_rabitq_main_approx =
+        (use_rabitq_main_env != nullptr && std::atoi(use_rabitq_main_env) != 0 && _rabitq_main_codes_exist &&
+         _rabitq_main_codes != nullptr && metric == diskann::Metric::INNER_PRODUCT &&
+         _rabitq_main_metric == static_cast<uint32_t>(diskann::rabitq::Metric::INNER_PRODUCT));
+
+    if (use_rabitq_main_env != nullptr && std::atoi(use_rabitq_main_env) != 0 && !use_rabitq_main_approx)
+    {
+        std::call_once(g_main_rabitq_msg_once, [&]() {
+            diskann::cout << "DISKANN_USE_RABITQ_MAIN_APPROX requested but main codes are unavailable or incompatible; "
+                             "falling back to PQ."
+                          << std::endl;
+        });
+    }
+    else if (use_rabitq_main_approx)
+    {
+        std::call_once(g_main_rabitq_msg_once, [&]() {
+            diskann::cout << "Using RaBitQ main codes for traversal approximate scoring (nb_bits="
+                          << _rabitq_main_nb_bits << ")." << std::endl;
+        });
+    }
+
     // lambda to batch compute query<-> node distances in PQ space
-    auto compute_dists = [this, pq_coord_scratch, pq_dists](const uint32_t *ids, const uint64_t n_ids,
-                                                            float *dists_out) {
-        diskann::aggregate_coords(ids, n_ids, this->data, this->_n_chunks, pq_coord_scratch);
-        diskann::pq_dist_lookup(pq_coord_scratch, n_ids, this->_n_chunks, pq_dists, dists_out);
+    auto compute_dists = [this, pq_coord_scratch, pq_dists, query_float, use_rabitq_main_approx](const uint32_t *ids,
+                                                                                                const uint64_t n_ids,
+                                                                                                float *dists_out) {
+        if (use_rabitq_main_approx)
+        {
+            for (uint64_t i = 0; i < n_ids; ++i)
+            {
+                const uint64_t id = ids[i];
+                const uint8_t *code = _rabitq_main_codes + id * _rabitq_main_code_size;
+                const float approx_ip = diskann::rabitq::approx_inner_product_from_code(
+                    code, query_float, static_cast<size_t>(_rabitq_main_dim), static_cast<size_t>(_rabitq_main_nb_bits));
+                dists_out[i] = -approx_ip;
+            }
+        }
+        else
+        {
+            diskann::aggregate_coords(ids, n_ids, this->data, this->_n_chunks, pq_coord_scratch);
+            diskann::pq_dist_lookup(pq_coord_scratch, n_ids, this->_n_chunks, pq_dists, dists_out);
+        }
     };
     Timer query_timer, io_timer, cpu_timer;
 
@@ -1645,9 +1950,48 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
 
         std::vector<AlignedRead> vec_read_reqs;
 
+        // Candidate pool before exact reorder.
         if (full_retset.size() > k_search * FULL_PRECISION_REORDER_MULTIPLIER)
             full_retset.erase(full_retset.begin() + k_search * FULL_PRECISION_REORDER_MULTIPLIER, full_retset.end());
 
+        // Optional: RaBitQ prefilter to prune reorder IO for INNER_PRODUCT.
+        // Enable via env var DISKANN_USE_RABITQ_REORDER_PREFILTER=1.
+        // Control target multiplier via DISKANN_RABITQ_REORDER_PREFILTER_MULT (default: FULL_PRECISION_REORDER_MULTIPLIER).
+        const char *use_rabitq_env = std::getenv("DISKANN_USE_RABITQ_REORDER_PREFILTER");
+        const bool use_rabitq_prefilter =
+            (use_rabitq_env != nullptr && std::atoi(use_rabitq_env) != 0 && _rabitq_reorder_codes_exist &&
+             _rabitq_reorder_codes != nullptr && metric == diskann::Metric::INNER_PRODUCT);
+
+        if (use_rabitq_prefilter)
+        {
+            uint64_t mult = FULL_PRECISION_REORDER_MULTIPLIER;
+            if (const char *mult_env = std::getenv("DISKANN_RABITQ_REORDER_PREFILTER_MULT"))
+            {
+                const int v = std::atoi(mult_env);
+                if (v > 0)
+                    mult = static_cast<uint64_t>(v);
+            }
+
+            const uint64_t target = std::min<uint64_t>(full_retset.size(), k_search * mult);
+            if (target < full_retset.size())
+            {
+                // Score all candidates using RaBitQ and keep the best 'target'.
+                for (auto &nbr : full_retset)
+                {
+                    const uint64_t id = nbr.id;
+                    const uint8_t *code = _rabitq_reorder_codes + id * _rabitq_reorder_code_size;
+                    const float approx_ip = diskann::rabitq::approx_inner_product_from_code(
+                        code, query_float, static_cast<size_t>(_rabitq_reorder_dim),
+                        static_cast<size_t>(_rabitq_reorder_nb_bits));
+                    nbr.distance = -approx_ip;
+                }
+
+                std::nth_element(full_retset.begin(), full_retset.begin() + target, full_retset.end());
+                full_retset.erase(full_retset.begin() + target, full_retset.end());
+                std::sort(full_retset.begin(), full_retset.end());
+            }
+        }
+
         for (size_t i = 0; i < full_retset.size(); ++i)
         {
             // MULTISECTORFIX
diff --git a/src/rabitq.cpp b/src/rabitq.cpp
new file mode 100644
index 000000000..804123f2a
--- /dev/null
+++ b/src/rabitq.cpp
@@ -0,0 +1,444 @@
+#include "rabitq.h"
+
+#include <algorithm>
+#include <cassert>
+#include <cmath>
+#include <cstring>
+#include <limits>
+#include <queue>
+#include <vector>
+
+namespace diskann
+{
+namespace rabitq
+{
+
+namespace
+{
+constexpr float kTightStart[9] = {0.0f, 0.15f, 0.20f, 0.52f, 0.59f, 0.71f, 0.75f, 0.77f, 0.81f};
+constexpr double kEps = 1e-5;
+
+inline float l2_sqr(const float* x, size_t d)
+{
+    double sum = 0.0;
+    for (size_t i = 0; i < d; ++i)
+        sum += static_cast<double>(x[i]) * static_cast<double>(x[i]);
+    return static_cast<float>(sum);
+}
+
+inline float inner_product(const float* a, const float* b, size_t d)
+{
+    double sum = 0.0;
+    for (size_t i = 0; i < d; ++i)
+        sum += static_cast<double>(a[i]) * static_cast<double>(b[i]);
+    return static_cast<float>(sum);
+}
+
+inline void set_bit_standard(uint8_t* code, size_t bit_index)
+{
+    const size_t byte_idx = bit_index / 8;
+    const size_t bit_offset = bit_index % 8;
+    code[byte_idx] |= static_cast<uint8_t>(1u << bit_offset);
+}
+
+inline bool extract_bit_standard(const uint8_t* code, size_t bit_index)
+{
+    const size_t byte_idx = bit_index / 8;
+    const size_t bit_offset = bit_index % 8;
+    return (code[byte_idx] >> bit_offset) & 1u;
+}
+
+inline int extract_code_inline(const uint8_t* ex_code, size_t index, size_t ex_bits)
+{
+    size_t bit_pos = index * ex_bits;
+    int code_value = 0;
+
+    for (size_t bit = 0; bit < ex_bits; ++bit)
+    {
+        const size_t byte_idx = bit_pos / 8;
+        const size_t bit_idx = bit_pos % 8;
+        if (ex_code[byte_idx] & (1u << bit_idx))
+            code_value |= (1u << bit);
+        bit_pos++;
+    }
+
+    return code_value;
+}
+
+SignBitFactorsWithError compute_vector_factors(const float* x, size_t d, Metric metric, bool compute_error)
+{
+    // Mirrors Faiss rabitq_utils::compute_vector_factors but with centroid == nullptr.
+    // or_minus_c == x
+    float norm_L2sqr = 0.0f;
+    float or_L2sqr = 0.0f;
+    float dp_oO = 0.0f;
+
+    for (size_t j = 0; j < d; ++j)
+    {
+        const float x_val = x[j];
+        const float or_minus_c = x_val;
+        const float sq = or_minus_c * or_minus_c;
+        norm_L2sqr += sq;
+        or_L2sqr += x_val * x_val;
+
+        const bool xb = (or_minus_c > 0.0f);
+        dp_oO += xb ? or_minus_c : -or_minus_c;
+    }
+
+    constexpr float epsilon = std::numeric_limits<float>::epsilon();
+    constexpr float kConstEpsilon = 1.9f;
+
+    const float sqrt_norm_L2 = std::sqrt(norm_L2sqr);
+    const float inv_norm_L2 = (norm_L2sqr < epsilon) ? 1.0f : (1.0f / sqrt_norm_L2);
+
+    const float inv_d_sqrt = (d == 0) ? 1.0f : (1.0f / std::sqrt(static_cast<float>(d)));
+    const float normalized_dp = dp_oO * inv_norm_L2 * inv_d_sqrt;
+    const float inv_dp_oO = (std::abs(normalized_dp) < epsilon) ? 1.0f : (1.0f / normalized_dp);
+
+    SignBitFactorsWithError factors;
+    if (metric == Metric::INNER_PRODUCT)
+        factors.or_minus_c_l2sqr = (norm_L2sqr - or_L2sqr);
+    else
+        factors.or_minus_c_l2sqr = norm_L2sqr;
+
+    factors.dp_multiplier = inv_dp_oO * sqrt_norm_L2;
+
+    if (compute_error)
+    {
+        const float xu_cb_norm_sqr = static_cast<float>(d) * 0.25f;
+        const float ip_resi_xucb = 0.5f * dp_oO;
+
+        float tmp_error = 0.0f;
+        if (std::abs(ip_resi_xucb) > epsilon)
+        {
+            const float ratio_sq = (norm_L2sqr * xu_cb_norm_sqr) / (ip_resi_xucb * ip_resi_xucb);
+            if (ratio_sq > 1.0f)
+            {
+                if (d == 1)
+                    tmp_error = sqrt_norm_L2 * kConstEpsilon * std::sqrt(ratio_sq - 1.0f);
+                else
+                    tmp_error = sqrt_norm_L2 * kConstEpsilon *
+                        std::sqrt((ratio_sq - 1.0f) / static_cast<float>(d - 1));
+            }
+        }
+
+        factors.f_error = (metric == Metric::L2) ? (2.0f * tmp_error) : (1.0f * tmp_error);
+    }
+
+    return factors;
+}
+
+float compute_optimal_scaling_factor(const float* o_abs, size_t d, size_t nb_bits)
+{
+    const size_t ex_bits = nb_bits - 1;
+    assert(ex_bits >= 1 && ex_bits <= 8);
+
+    const int kNEnum = 10;
+    const int max_code = (1 << ex_bits) - 1;
+
+    float max_o = *std::max_element(o_abs, o_abs + d);
+    if (!(max_o > 0.0f))
+        return 1.0f;
+
+    const float t_end = static_cast<float>(max_code + kNEnum) / max_o;
+    const float t_start = t_end * kTightStart[ex_bits];
+
+    std::vector<float> inv_o_abs(d);
+    for (size_t i = 0; i < d; ++i)
+        inv_o_abs[i] = 1.0f / o_abs[i];
+
+    std::vector<int> cur_o_bar(d);
+    float sqr_denominator = static_cast<float>(d) * 0.25f;
+    float numerator = 0.0f;
+
+    for (size_t i = 0; i < d; ++i)
+    {
+        int cur = static_cast<int>((t_start * o_abs[i]) + kEps);
+        cur_o_bar[i] = cur;
+        sqr_denominator += static_cast<float>(cur * cur + cur);
+        numerator += (cur + 0.5f) * o_abs[i];
+    }
+
+    float inv_sqrt_denom = 1.0f / std::sqrt(sqr_denominator);
+
+    std::vector<std::pair<float, size_t>> pq_storage;
+    pq_storage.reserve(d);
+
+    std::priority_queue<std::pair<float, size_t>, std::vector<std::pair<float, size_t>>, std::greater<>> next_t(
+        std::greater<>(), std::move(pq_storage));
+
+    for (size_t i = 0; i < d; ++i)
+    {
+        float t_next = static_cast<float>(cur_o_bar[i] + 1) * inv_o_abs[i];
+        if (t_next < t_end)
+            next_t.emplace(t_next, i);
+    }
+
+    float max_ip = 0.0f;
+    float t = 0.0f;
+
+    while (!next_t.empty())
+    {
+        const float cur_t = next_t.top().first;
+        const size_t update_id = next_t.top().second;
+        next_t.pop();
+
+        cur_o_bar[update_id]++;
+        const int update_o_bar = cur_o_bar[update_id];
+
+        const float delta = 2.0f * update_o_bar;
+        sqr_denominator += delta;
+        numerator += o_abs[update_id];
+
+        const float old_denom = sqr_denominator - delta;
+        inv_sqrt_denom = inv_sqrt_denom * (1.0f - 0.5f * delta / (old_denom + delta * 0.5f));
+
+        const float cur_ip = numerator * inv_sqrt_denom;
+        if (cur_ip > max_ip)
+        {
+            max_ip = cur_ip;
+            t = cur_t;
+        }
+
+        if (update_o_bar < max_code)
+        {
+            float t_next = static_cast<float>(update_o_bar + 1) * inv_o_abs[update_id];
+            if (t_next < t_end)
+                next_t.emplace(t_next, update_id);
+        }
+    }
+
+    return (t > 0.0f) ? t : 1.0f;
+}
+
+void pack_multibit_codes(const int* tmp_code, uint8_t* ex_code, size_t d, size_t nb_bits)
+{
+    const size_t ex_bits = nb_bits - 1;
+    assert(ex_bits >= 1 && ex_bits <= 8);
+
+    const size_t total_bits = d * ex_bits;
+    const size_t output_size = (total_bits + 7) / 8;
+    std::memset(ex_code, 0, output_size);
+
+    size_t bit_pos = 0;
+    for (size_t i = 0; i < d; ++i)
+    {
+        const int code_value = tmp_code[i];
+        for (size_t bit = 0; bit < ex_bits; ++bit)
+        {
+            const size_t byte_idx = bit_pos / 8;
+            const size_t bit_idx = bit_pos % 8;
+            if (code_value & (1 << bit))
+                ex_code[byte_idx] |= static_cast<uint8_t>(1u << bit_idx);
+            ++bit_pos;
+        }
+    }
+}
+
+void compute_ex_factors(const float* residual, const int* tmp_code, size_t d, size_t ex_bits, float norm,
+                        double ipnorm, ExtraBitsFactors& ex_factors, Metric metric)
+{
+    float ipnorm_inv = static_cast<float>(1.0 / ipnorm);
+    if (!std::isnormal(ipnorm_inv))
+        ipnorm_inv = 1.0f;
+
+    const float cb = -(static_cast<float>(1 << ex_bits) - 0.5f);
+
+    std::vector<float> xu_cb(d);
+    for (size_t i = 0; i < d; ++i)
+        xu_cb[i] = static_cast<float>(tmp_code[i]) + cb;
+
+    const float l2_sqr_val = norm * norm;
+    const float ip_resi_xucb = inner_product(residual, xu_cb.data(), d);
+
+    if (metric == Metric::L2)
+    {
+        ex_factors.f_add_ex = l2_sqr_val;
+        ex_factors.f_rescale_ex = ipnorm_inv * -2.0f * norm;
+    }
+    else
+    {
+        // centroid == nullptr in this DiskANN integration, so centroid correction term is 0.
+        ex_factors.f_add_ex = 1;
+        ex_factors.f_rescale_ex = ipnorm_inv * -norm;
+        (void)ip_resi_xucb;
+    }
+}
+
+void quantize_ex_bits(const float* residual, size_t d, size_t nb_bits, uint8_t* ex_code, ExtraBitsFactors& ex_factors,
+                      Metric metric)
+{
+    const size_t ex_bits = nb_bits - 1;
+    assert(ex_bits >= 1 && ex_bits <= 8);
+
+    // Normalize residual
+    const float norm2 = l2_sqr(residual, d);
+    const float norm = std::sqrt(norm2);
+    const float inv_norm = (norm2 > 0.0f) ? (1.0f / norm) : 1.0f;
+
+    std::vector<float> o_abs(d);
+    std::vector<int> tmp_code(d);
+
+    // abs(normalized residual)
+    for (size_t i = 0; i < d; ++i)
+        o_abs[i] = std::abs(residual[i] * inv_norm);
+
+    const float t = compute_optimal_scaling_factor(o_abs.data(), d, nb_bits);
+    const int max_code = (1 << ex_bits) - 1;
+
+    // Quantize and apply sign bit flipping behavior (encode magnitude with sign stored separately)
+    // total_code = (sign << ex_bits) + ex_code
+    for (size_t i = 0; i < d; ++i)
+    {
+        int q = static_cast<int>((t * o_abs[i]) + kEps);
+        q = std::clamp(q, 0, max_code);
+
+        // If residual is negative, flip code via complement (matches Faiss logic via sign bit storage)
+        if (residual[i] <= 0.0f)
+            q = max_code - q;
+
+        tmp_code[i] = q;
+    }
+
+    pack_multibit_codes(tmp_code.data(), ex_code, d, nb_bits);
+
+    // ipnorm from quantized normalized residual vs abs residual. Faiss uses a specific normalization;
+    // here we approximate with a stable fallback.
+    // We keep ipnorm > 0 to avoid NaNs.
+    double ipnorm = 0.0;
+    {
+        const float cb = -(static_cast<float>(1 << ex_bits) - 0.5f);
+        std::vector<float> xu_cb(d);
+        for (size_t i = 0; i < d; ++i)
+            xu_cb[i] = static_cast<float>(tmp_code[i]) + cb;
+        ipnorm = inner_product(o_abs.data(), xu_cb.data(), d);
+        if (!(ipnorm > 0.0))
+            ipnorm = 1.0;
+    }
+
+    compute_ex_factors(residual, tmp_code.data(), d, ex_bits, norm, ipnorm, ex_factors, metric);
+}
+
+} // namespace
+
+size_t compute_code_size(size_t d, size_t nb_bits)
+{
+    assert(nb_bits >= 1 && nb_bits <= 9);
+
+    const size_t ex_bits = nb_bits - 1;
+
+    const size_t base_size = (d + 7) / 8 + (ex_bits == 0 ? sizeof(SignBitFactors) : sizeof(SignBitFactorsWithError));
+
+    size_t ex_size = 0;
+    if (ex_bits > 0)
+        ex_size = (d * ex_bits + 7) / 8 + sizeof(ExtraBitsFactors);
+
+    return base_size + ex_size;
+}
+
+void encode_vector(const float* x, size_t d, Metric metric, size_t nb_bits, uint8_t* out_code)
+{
+    assert(x != nullptr);
+    assert(out_code != nullptr);
+    assert(nb_bits >= 1 && nb_bits <= 9);
+
+    const size_t ex_bits = nb_bits - 1;
+    const size_t code_size = compute_code_size(d, nb_bits);
+    std::memset(out_code, 0, code_size);
+
+    uint8_t* sign_bits = out_code;
+
+    const bool compute_error = (ex_bits > 0);
+    const SignBitFactorsWithError factors_data = compute_vector_factors(x, d, metric, compute_error);
+
+    if (ex_bits == 0)
+    {
+        auto* base_factors = reinterpret_cast<SignBitFactors*>(out_code + (d + 7) / 8);
+        base_factors->or_minus_c_l2sqr = factors_data.or_minus_c_l2sqr;
+        base_factors->dp_multiplier = factors_data.dp_multiplier;
+    }
+    else
+    {
+        auto* full_factors = reinterpret_cast<SignBitFactorsWithError*>(out_code + (d + 7) / 8);
+        *full_factors = factors_data;
+    }
+
+    // Sign bits
+    std::vector<float> residual(d);
+    for (size_t j = 0; j < d; ++j)
+    {
+        residual[j] = x[j];
+        if (x[j] > 0.0f)
+            set_bit_standard(sign_bits, j);
+    }
+
+    if (ex_bits > 0)
+    {
+        uint8_t* ex_code = out_code + (d + 7) / 8 + sizeof(SignBitFactorsWithError);
+        auto* ex_factors = reinterpret_cast<ExtraBitsFactors*>(ex_code + (d * ex_bits + 7) / 8);
+        quantize_ex_bits(residual.data(), d, nb_bits, ex_code, *ex_factors, metric);
+    }
+}
+
+float approx_inner_product_from_code(const uint8_t* code, const float* query, size_t d, size_t nb_bits)
+{
+    assert(code != nullptr);
+    assert(query != nullptr);
+    assert(nb_bits >= 1 && nb_bits <= 9);
+
+    const size_t ex_bits = nb_bits - 1;
+
+    const uint8_t* sign_bits = code;
+
+    // For this integration we assume query is already rotated/centered as needed.
+    const float qr_to_c_L2sqr = l2_sqr(query, d);
+    const float qr_norm_L2sqr = qr_to_c_L2sqr;
+
+    float ex_ip = 0.0f;
+
+    const float inv_d_sqrt = (d == 0) ? 1.0f : (1.0f / std::sqrt(static_cast<float>(d)));
+
+    if (ex_bits == 0)
+    {
+        // Very simple 1-bit estimator: reconstructed value per dim is (bit-0.5)*2*inv_d_sqrt*dp_multiplier
+        const auto* fac = reinterpret_cast<const SignBitFactors*>(code + (d + 7) / 8);
+        const float scale = fac->dp_multiplier * 2.0f * inv_d_sqrt;
+
+        for (size_t i = 0; i < d; ++i)
+        {
+            const float bit = extract_bit_standard(sign_bits, i) ? 1.0f : 0.0f;
+            const float reconstructed = (bit - 0.5f) * scale;
+            ex_ip += query[i] * reconstructed;
+        }
+
+        return ex_ip;
+    }
+
+    const auto* base_fac = reinterpret_cast<const SignBitFactorsWithError*>(code + (d + 7) / 8);
+    const uint8_t* ex_code = code + (d + 7) / 8 + sizeof(SignBitFactorsWithError);
+    const auto* ex_fac = reinterpret_cast<const ExtraBitsFactors*>(ex_code + (d * ex_bits + 7) / 8);
+
+    const float cb = -(static_cast<float>(1 << ex_bits) - 0.5f);
+    for (size_t i = 0; i < d; ++i)
+    {
+        const bool sign_bit = extract_bit_standard(sign_bits, i);
+        const int ex_code_val = extract_code_inline(ex_code, i, ex_bits);
+        int total_code = (sign_bit ? 1 : 0) << ex_bits;
+        total_code += ex_code_val;
+        const float reconstructed = static_cast<float>(total_code) + cb;
+        ex_ip += query[i] * reconstructed;
+    }
+
+    // Faiss multi-bit distance formula (metric==IP) transformed yields an IP-like score.
+    // dist = qr_to_c_L2sqr + ex_fac.f_add_ex + ex_fac.f_rescale_ex * ex_ip
+    // ip_score = -0.5 * (dist - qr_norm_L2sqr)
+    const float dist = qr_to_c_L2sqr + ex_fac->f_add_ex + ex_fac->f_rescale_ex * ex_ip;
+    const float ip_score = -0.5f * (dist - qr_norm_L2sqr);
+
+    (void)base_fac; // base factors not needed for full multi-bit path here
+
+    return ip_score;
+}
+
+} // namespace rabitq
+} // namespace diskann

From 1c84c4145e54d3ad8df0a1c09f5d43a92734f964 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 13 Jan 2026 10:01:50 +0800
Subject: [PATCH 11/13] update readme for rabitq

---
 README.md | 53 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 53 insertions(+)

diff --git a/README.md b/README.md
index 33b3fc114..d6e437ef4 100644
--- a/README.md
+++ b/README.md
@@ -174,6 +174,59 @@ Note: the input vectors used to build these codes must match the vector space us
     - `DISKANN_RABITQ_REORDER_PREFILTER_MULT=<int>`
     - Default: uses the same multiplier as the standard reorder path (`FULL_PRECISION_REORDER_MULTIPLIER`, currently 3)
 
+### RaBitQ main-search approximate scoring (optional, runtime-gated)
+
+DiskANN also supports using RaBitQ multi-bit codes as the *main traversal approximate scorer* in SSD search (inside `PQFlashIndex::cached_beam_search`).
+
+- Default behavior is unchanged: traversal uses the existing PQ distance lookup.
+- When enabled, traversal scoring uses RaBitQ approximate inner product (converted to a “distance” as `-ip`) while keeping the rest of the search logic intact.
+
+#### Runtime enable
+
+Set:
+
+```bash
+export DISKANN_USE_RABITQ_MAIN_APPROX=1
+```
+
+If the environment variable is set but RaBitQ main codes are missing or incompatible, DiskANN prints a one-time message and automatically falls back to PQ.
+
+#### Main code file naming and fallback
+
+Preferred sidecar file name:
+
+```text
+<index_filepath>_rabitq_main.bin
+```
+
+For example, if your SSD index file is `foo_disk.index`, the RaBitQ main code file should be `foo_disk.index_rabitq_main.bin`.
+
+If the main code file does **not** exist, DiskANN will attempt to use the reorder-code sidecar (`<index_filepath>_rabitq_reorder.bin`) as a fallback **when compatible** (and will alias the already-loaded reorder buffer to avoid double-loading memory).
+
+#### Generating main codes during disk index build
+
+You can generate the main-search sidecar automatically as part of disk index build:
+
+```bash
+./build/apps/build_disk_index \
+    ... \
+    --dist_fn mips \
+    --build_rabitq_main_codes \
+    --rabitq_nb_bits 4
+```
+
+This produces:
+
+```text
+<index_path_prefix>_disk.index_rabitq_main.bin
+```
+
+#### Constraints
+
+- Currently supported only for `dist_fn=mips` / `Metric::INNER_PRODUCT`.
+- The RaBitQ code `dim` must match the index `_data_dim` (post any preprocessing/augmentation), otherwise main-search RaBitQ is disabled and the search falls back to PQ.
+- Ensure you run the updated `search_disk_index`/`build_disk_index` binaries from the same build directory that contains this feature.
+
 ## Windows build:
 
 The Windows version has been tested with Enterprise editions of Visual Studio 2022, 2019 and 2017. It should work with the Community and Professional editions as well without any changes. 

From c2b0b56ce57316094b6281b0d81438e9b50f2b81 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 13 Jan 2026 11:00:10 +0800
Subject: [PATCH 12/13] Remove RaBitQ reorder prefilter and update README

---
 README-changed.md                   |  31 ++
 README.md                           |  58 +--
 apps/CMakeLists.txt                 |   3 -
 apps/build_disk_index.cpp           |  23 +-
 apps/build_rabitq_reorder_codes.cpp | 118 +-----
 include/pq_flash_index.h            |  11 -
 src/disk_utils.cpp                  |  46 +--
 src/pq_flash_index.cpp              | 536 ++++------------------------
 8 files changed, 111 insertions(+), 715 deletions(-)
 create mode 100644 README-changed.md

diff --git a/README-changed.md b/README-changed.md
new file mode 100644
index 000000000..9feeadf3c
--- /dev/null
+++ b/README-changed.md
@@ -0,0 +1,31 @@
+# PR: Remove RaBitQ reorder-prefilter + README cleanup
+
+## What changed
+
+This PR removes the previously added **RaBitQ reorder prefilter** feature end-to-end, while keeping **RaBitQ main-search approximate scoring** support.
+
+### DiskANN core (SSD search)
+
+- Removed all reorder-prefilter state and logic from `PQFlashIndex`.
+  - No longer loads/uses `<index>_rabitq_reorder.bin`.
+  - No longer supports `DISKANN_USE_RABITQ_REORDER_PREFILTER` / related tuning env vars.
+- Kept RaBitQ **main traversal** approximate scorer support (runtime-gated).
+
+### Build / CLI integration
+
+- Removed build-time generation options and plumbing for reorder-prefilter codes.
+- Removed the reorder-code generator app from the build targets.
+
+### Documentation
+
+- Removed the entire “RaBitQ multi-bit reorder prefilter” section from the top-level README.
+- Updated the RaBitQ main-search README section to remove the old fallback wording that referenced reorder-code sidecars.
+
+## Why
+
+The reorder-prefilter mode is no longer desired; maintaining only the RaBitQ main-search mode simplifies the feature surface and avoids documenting/maintaining a removed behavior.
+
+## Notes
+
+- RaBitQ main-search mode remains runtime-gated (disabled by default).
+- If you have existing indexes/code sidecars produced for reorder-prefilter, they are no longer consumed by the library.
diff --git a/README.md b/README.md
index d6e437ef4..19de43011 100644
--- a/README.md
+++ b/README.md
@@ -120,60 +120,6 @@ If you want to do a strict A/B build where only one ISA path is compiled/used, c
 
 Note: some toolchains/build scripts add global `-march=native`. When AMX is disabled (`-DDISKANN_AMXBF16=OFF`), DiskANN explicitly compiles the AMX translation unit with `-mno-amx-tile`/`-mno-amx-bf16` (when supported) to avoid accidentally emitting AMX instructions.
 
-### RaBitQ multi-bit reorder prefilter (optional, runtime-gated)
-
-DiskANN includes an optional RaBitQ multi-bit–based *prefilter* to reduce IO during SSD reordering (the `use_reorder_data` path in `PQFlashIndex`) for **inner product** search.
-
-- Compile-time: the RaBitQ prefilter code is compiled into the DiskANN library and the helper tool is built as part of the normal build.
-    - Tool: `build_rabitq_reorder_codes`
-- Runtime: the prefilter is **disabled by default**. It is enabled only when all of the following are true:
-    - Environment variable `DISKANN_USE_RABITQ_REORDER_PREFILTER=1`
-    - Search metric is `INNER_PRODUCT`
-    - A RaBitQ reorder code file exists and loads successfully next to the disk index file
-
-#### Code file format and naming
-
-To use the prefilter, generate a sidecar file named:
-
-```text
-<index_filepath>_rabitq_reorder.bin
-```
-
-For example, if your SSD index file is `foo_disk.index`, the RaBitQ reorder code file should be `foo_disk.index_rabitq_reorder.bin`.
-
-Generate it with:
-
-```bash
-./build/apps/build_rabitq_reorder_codes \
-    --data_file <base_vectors.bin> \
-    --output_file <index_filepath>_rabitq_reorder.bin \
-    --metric ip \
-    --nb_bits 4
-```
-
-Alternatively, you can generate the sidecar automatically as part of disk index build (recommended for `mips`, since it guarantees the codes match the exact reorder vector space after any preprocessing/augmentation):
-
-```bash
-./build/apps/build_disk_index \
-    ... \
-    --dist_fn mips \
-    --PQ_disk_bytes <bytes> \
-    --append_reorder_data \
-    --build_rabitq_reorder_codes \
-    --rabitq_nb_bits 4
-```
-
-Note: the input vectors used to build these codes must match the vector space used for reordering (dimension and any preprocessing).
-
-#### Tuning
-
-- Enable/disable:
-    - Enable: `DISKANN_USE_RABITQ_REORDER_PREFILTER=1`
-    - Disable (default): unset or set to `0`
-- Candidate multiplier after prefilter (smaller = fewer IOs, potentially lower recall):
-    - `DISKANN_RABITQ_REORDER_PREFILTER_MULT=<int>`
-    - Default: uses the same multiplier as the standard reorder path (`FULL_PRECISION_REORDER_MULTIPLIER`, currently 3)
-
 ### RaBitQ main-search approximate scoring (optional, runtime-gated)
 
 DiskANN also supports using RaBitQ multi-bit codes as the *main traversal approximate scorer* in SSD search (inside `PQFlashIndex::cached_beam_search`).
@@ -191,7 +137,7 @@ export DISKANN_USE_RABITQ_MAIN_APPROX=1
 
 If the environment variable is set but RaBitQ main codes are missing or incompatible, DiskANN prints a one-time message and automatically falls back to PQ.
 
-#### Main code file naming and fallback
+#### Main code file naming
 
 Preferred sidecar file name:
 
@@ -201,8 +147,6 @@ Preferred sidecar file name:
 
 For example, if your SSD index file is `foo_disk.index`, the RaBitQ main code file should be `foo_disk.index_rabitq_main.bin`.
 
-If the main code file does **not** exist, DiskANN will attempt to use the reorder-code sidecar (`<index_filepath>_rabitq_reorder.bin`) as a fallback **when compatible** (and will alias the already-loaded reorder buffer to avoid double-loading memory).
-
 #### Generating main codes during disk index build
 
 You can generate the main-search sidecar automatically as part of disk index build:
diff --git a/apps/CMakeLists.txt b/apps/CMakeLists.txt
index 2831cdd7e..a848c4f10 100644
--- a/apps/CMakeLists.txt
+++ b/apps/CMakeLists.txt
@@ -22,8 +22,6 @@ target_link_libraries(search_disk_index ${PROJECT_NAME} ${DISKANN_ASYNC_LIB} ${D
 add_executable(range_search_disk_index range_search_disk_index.cpp)
 target_link_libraries(range_search_disk_index ${PROJECT_NAME} ${DISKANN_ASYNC_LIB} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
 
-add_executable(build_rabitq_reorder_codes build_rabitq_reorder_codes.cpp)
-target_link_libraries(build_rabitq_reorder_codes ${PROJECT_NAME} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
 
 add_executable(test_streaming_scenario test_streaming_scenario.cpp)
 target_link_libraries(test_streaming_scenario ${PROJECT_NAME} ${DISKANN_TOOLS_TCMALLOC_LINK_OPTIONS} Boost::program_options)
@@ -38,7 +36,6 @@ if (NOT MSVC)
             build_disk_index
             search_disk_index
             range_search_disk_index
-            build_rabitq_reorder_codes
             test_streaming_scenario
             test_insert_deletes_consolidate
             RUNTIME
diff --git a/apps/build_disk_index.cpp b/apps/build_disk_index.cpp
index 17580a6cf..0c58cf92c 100644
--- a/apps/build_disk_index.cpp
+++ b/apps/build_disk_index.cpp
@@ -75,8 +75,7 @@ int main(int argc, char **argv)
     float B, M;
     bool append_reorder_data = false;
     bool use_opq = false;
-    bool build_rabitq_reorder_codes = false;
-        bool build_rabitq_main_codes = false;
+    bool build_rabitq_main_codes = false;
     uint32_t rabitq_nb_bits = 4;
 
     po::options_description desc{
@@ -121,18 +120,13 @@ int main(int argc, char **argv)
                                        "Include full precision data in the index. Use only in "
                                        "conjuction with compressed data on SSD.");
 
-            optional_configs.add_options()(
-                "build_rabitq_main_codes", po::bool_switch()->default_value(false),
-                "Generate RaBitQ main-search codes sidecar file (<index>_disk.index_rabitq_main.bin). "
-                "Only meaningful for dist_fn=mips.");
-
         optional_configs.add_options()(
-            "build_rabitq_reorder_codes", po::bool_switch()->default_value(false),
-            "Generate RaBitQ reorder codes sidecar file (<index>_disk.index_rabitq_reorder.bin). "
-            "Only meaningful for dist_fn=mips with PQ_disk_bytes>0 and append_reorder_data.");
+            "build_rabitq_main_codes", po::bool_switch()->default_value(false),
+            "Generate RaBitQ main-search codes sidecar file (<index>_disk.index_rabitq_main.bin). "
+            "Only meaningful for dist_fn=mips.");
 
         optional_configs.add_options()("rabitq_nb_bits", po::value<uint32_t>(&rabitq_nb_bits)->default_value(4),
-                                       "Bits per dimension for RaBitQ reorder codes (1..9)");
+                                       "Bits per dimension for RaBitQ codes (1..9)");
         optional_configs.add_options()("build_PQ_bytes", po::value<uint32_t>(&build_PQ)->default_value(0),
                                        program_options_utils::BUIlD_GRAPH_PQ_BYTES);
         optional_configs.add_options()("use_opq", po::bool_switch()->default_value(false),
@@ -164,10 +158,8 @@ int main(int argc, char **argv)
             append_reorder_data = true;
         if (vm["use_opq"].as<bool>())
             use_opq = true;
-        if (vm["build_rabitq_reorder_codes"].as<bool>())
-            build_rabitq_reorder_codes = true;
-            if (vm["build_rabitq_main_codes"].as<bool>())
-                build_rabitq_main_codes = true;
+        if (vm["build_rabitq_main_codes"].as<bool>())
+            build_rabitq_main_codes = true;
     }
     catch (const std::exception &ex)
     {
@@ -213,7 +205,6 @@ int main(int argc, char **argv)
                          std::string(std::to_string(num_threads)) + " " + std::string(std::to_string(disk_PQ)) + " " +
                          std::string(std::to_string(append_reorder_data)) + " " +
                          std::string(std::to_string(build_PQ)) + " " + std::string(std::to_string(QD)) + " " +
-                         std::string(std::to_string(build_rabitq_reorder_codes)) + " " +
                          std::string(std::to_string(build_rabitq_main_codes)) + " " +
                          std::string(std::to_string(rabitq_nb_bits));
 
diff --git a/apps/build_rabitq_reorder_codes.cpp b/apps/build_rabitq_reorder_codes.cpp
index 458780667..75d888957 100644
--- a/apps/build_rabitq_reorder_codes.cpp
+++ b/apps/build_rabitq_reorder_codes.cpp
@@ -21,121 +21,5 @@ struct RaBitQReorderHeader
     uint32_t version;
     uint32_t metric;
     uint32_t nb_bits;
-    uint32_t dim;
+    #error "build_rabitq_reorder_codes has been removed (RaBitQ reorder prefilter deprecated). Use build_disk_index with --build_rabitq_main_codes instead."
     uint64_t num_points;
-    uint64_t code_size;
-};
-#pragma pack(pop)
-
-void write_header(std::ofstream &out, uint32_t metric, uint32_t nb_bits, uint32_t dim, uint64_t num_points,
-                  uint64_t code_size)
-{
-    RaBitQReorderHeader hdr;
-    std::memset(&hdr, 0, sizeof(hdr));
-    // "DARBQ1\0" for easy identification.
-    hdr.magic[0] = 'D';
-    hdr.magic[1] = 'A';
-    hdr.magic[2] = 'R';
-    hdr.magic[3] = 'B';
-    hdr.magic[4] = 'Q';
-    hdr.magic[5] = '1';
-    hdr.magic[6] = '\0';
-    hdr.magic[7] = '\0';
-    hdr.version = 1;
-    hdr.metric = metric;
-    hdr.nb_bits = nb_bits;
-    hdr.dim = dim;
-    hdr.num_points = num_points;
-    hdr.code_size = code_size;
-
-    out.write(reinterpret_cast<const char *>(&hdr), sizeof(hdr));
-}
-
-} // namespace
-
-int main(int argc, char **argv)
-{
-    std::string data_file;
-    std::string output_file;
-    uint32_t nb_bits = 4;
-    std::string metric_str = "ip";
-
-    po::options_description desc("build_rabitq_reorder_codes options");
-    desc.add_options()("help,h", "Show help")
-
-        ("data_file", po::value<std::string>(&data_file)->required(),
-         "Input base vectors in DiskANN .bin format (float32, n x d)")
-
-        ("output_file", po::value<std::string>(&output_file)->required(),
-         "Output RaBitQ reorder code file (to be loaded by PQFlashIndex)")
-
-        ("nb_bits", po::value<uint32_t>(&nb_bits)->default_value(4), "Bits per dimension (1..9)")
-
-        ("metric", po::value<std::string>(&metric_str)->default_value("ip"), "Metric: ip or l2");
-
-    po::variables_map vm;
-    try
-    {
-        po::store(po::parse_command_line(argc, argv, desc), vm);
-        if (vm.count("help"))
-        {
-            std::cout << desc << std::endl;
-            return 0;
-        }
-        po::notify(vm);
-    }
-    catch (const std::exception &e)
-    {
-        std::cerr << "Error: " << e.what() << std::endl;
-        std::cerr << desc << std::endl;
-        return 1;
-    }
-
-    if (nb_bits < 1 || nb_bits > 9)
-    {
-        std::cerr << "nb_bits must be in [1,9]" << std::endl;
-        return 1;
-    }
-
-    diskann::rabitq::Metric metric = diskann::rabitq::Metric::INNER_PRODUCT;
-    if (metric_str == "ip" || metric_str == "inner_product")
-        metric = diskann::rabitq::Metric::INNER_PRODUCT;
-    else if (metric_str == "l2")
-        metric = diskann::rabitq::Metric::L2;
-    else
-    {
-        std::cerr << "Unknown metric: " << metric_str << " (expected ip or l2)" << std::endl;
-        return 1;
-    }
-
-    uint64_t n = 0, d = 0;
-    std::unique_ptr<float[]> x;
-    diskann::load_bin<float>(data_file, x, n, d);
-
-    const uint64_t code_size = diskann::rabitq::compute_code_size(static_cast<size_t>(d), static_cast<size_t>(nb_bits));
-
-    std::vector<uint8_t> codes;
-    codes.resize(static_cast<size_t>(n * code_size));
-
-    for (uint64_t i = 0; i < n; ++i)
-    {
-        const float *row = x.get() + i * d;
-        uint8_t *out = codes.data() + i * code_size;
-        diskann::rabitq::encode_vector(row, static_cast<size_t>(d), metric, static_cast<size_t>(nb_bits), out);
-    }
-
-    std::ofstream out(output_file, std::ios::binary);
-    if (!out.is_open())
-    {
-        std::cerr << "Failed to open output_file: " << output_file << std::endl;
-        return 1;
-    }
-
-    write_header(out, static_cast<uint32_t>(metric), nb_bits, static_cast<uint32_t>(d), n, code_size);
-    out.write(reinterpret_cast<const char *>(codes.data()), static_cast<std::streamsize>(codes.size()));
-
-    std::cout << "Wrote RaBitQ reorder codes: n=" << n << " d=" << d << " nb_bits=" << nb_bits
-              << " code_size=" << code_size << " -> " << output_file << std::endl;
-
-    return 0;
-}
diff --git a/include/pq_flash_index.h b/include/pq_flash_index.h
index 40e680089..e69a84cd5 100644
--- a/include/pq_flash_index.h
+++ b/include/pq_flash_index.h
@@ -159,16 +159,6 @@ template <typename T, typename LabelT = uint32_t> class PQFlashIndex
     uint64_t _nvecs_per_sector = 0;
     uint64_t _reorder_bytes_per_element = sizeof(float);
 
-    // Optional: RaBitQ multi-bit codes for reorder prefiltering.
-    // When present and enabled, we can prune reorder IO by scoring candidates
-    // using codes in memory before reading reorder vectors from disk.
-    bool _rabitq_reorder_codes_exist = false;
-    uint8_t *_rabitq_reorder_codes = nullptr;
-    uint64_t _rabitq_reorder_code_size = 0;
-    uint64_t _rabitq_reorder_dim = 0;
-    uint32_t _rabitq_reorder_nb_bits = 0;
-    uint32_t _rabitq_reorder_metric = 0;
-
     // Optional: RaBitQ multi-bit codes for *main-search* approximate scoring.
     // When enabled (runtime-gated), neighbor expansion scoring uses RaBitQ
     // instead of PQ distance lookup, while preserving the PQ path as default.
@@ -178,7 +168,6 @@ template <typename T, typename LabelT = uint32_t> class PQFlashIndex
     uint64_t _rabitq_main_dim = 0;
     uint32_t _rabitq_main_nb_bits = 0;
     uint32_t _rabitq_main_metric = 0;
-    bool _rabitq_main_codes_alias_reorder = false;
 
     diskann::Metric metric = diskann::Metric::L2;
 
diff --git a/src/disk_utils.cpp b/src/disk_utils.cpp
index 034407c28..c796b9c94 100644
--- a/src/disk_utils.cpp
+++ b/src/disk_utils.cpp
@@ -1252,7 +1252,7 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
     {
         param_list.push_back(cur_param);
     }
-    if (param_list.size() < 5 || param_list.size() > 12)
+    if (param_list.size() < 5 || param_list.size() > 11)
     {
         diskann::cout << "Correct usage of parameters is R (max degree)\n"
                          "L (indexing list size, better if >= R)\n"
@@ -1266,7 +1266,6 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
                          "build_PQ_byte (number of PQ bytes for inde build; set 0 to use "
                          "full precision vectors)\n"
                          "QD Quantized Dimension to overwrite the derived dim from B\n"
-                         "build_rabitq_reorder_codes (0/1, optional; generates <index>_disk.index_rabitq_reorder.bin)\n"
                          "build_rabitq_main_codes (0/1, optional; generates <index>_disk.index_rabitq_main.bin)\n"
                          "rabitq_nb_bits (1..9, optional; default 4)"
                       << std::endl;
@@ -1312,26 +1311,18 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
         build_pq_bytes = atoi(param_list[7].c_str());
     }
 
-    bool build_rabitq_reorder_codes = false;
     bool build_rabitq_main_codes = false;
     uint32_t rabitq_nb_bits = 4;
     if (param_list.size() >= 10)
     {
         if (1 == atoi(param_list[9].c_str()))
-        {
-            build_rabitq_reorder_codes = true;
-        }
-    }
-    if (param_list.size() >= 11)
-    {
-        if (1 == atoi(param_list[10].c_str()))
         {
             build_rabitq_main_codes = true;
         }
     }
-    if (param_list.size() >= 12)
+    if (param_list.size() >= 11)
     {
-        rabitq_nb_bits = static_cast<uint32_t>(atoi(param_list[11].c_str()));
+        rabitq_nb_bits = static_cast<uint32_t>(atoi(param_list[10].c_str()));
     }
 
     std::string base_file(dataFilePath);
@@ -1509,37 +1500,6 @@ int build_disk_index(const char *dataFilePath, const char *indexFilePath, const
     }
     diskann::cout << timer.elapsed_seconds_for_step("generating disk layout") << std::endl;
 
-    if (build_rabitq_reorder_codes)
-    {
-        if (rabitq_nb_bits < 1 || rabitq_nb_bits > 9)
-        {
-            throw diskann::ANNException("rabitq_nb_bits must be in [1,9]", -1);
-        }
-        if (!reorder_data)
-        {
-            throw diskann::ANNException(
-                "Requested build_rabitq_reorder_codes but reorder flag is not enabled. "
-                "Enable append_reorder_data (reorder=1) to store reorder vectors.",
-                -1);
-        }
-        if (compareMetric != diskann::Metric::INNER_PRODUCT)
-        {
-            throw diskann::ANNException("RaBitQ reorder code generation is currently supported only for MIPS/IP.", -1);
-        }
-        if (!diskann::is_floating_point_like_v<T>)
-        {
-            throw diskann::ANNException("RaBitQ reorder code generation requires floating point data.", -1);
-        }
-
-        const std::string rabitq_codes_path = disk_index_path + "_rabitq_reorder.bin";
-        Timer rabitq_timer;
-        diskann::cout << "Generating RaBitQ reorder codes to " << rabitq_codes_path << " (nb_bits=" << rabitq_nb_bits
-                      << ")" << std::endl;
-        generate_rabitq_reorder_codes_from_bin<T>(data_file_to_use, rabitq_codes_path,
-                                                  diskann::rabitq::Metric::INNER_PRODUCT, rabitq_nb_bits);
-        diskann::cout << rabitq_timer.elapsed_seconds_for_step("generating rabitq reorder codes") << std::endl;
-    }
-
     if (build_rabitq_main_codes)
     {
         if (rabitq_nb_bits < 1 || rabitq_nb_bits > 9)
diff --git a/src/pq_flash_index.cpp b/src/pq_flash_index.cpp
index 5d070a5e3..b52fb3b39 100644
--- a/src/pq_flash_index.cpp
+++ b/src/pq_flash_index.cpp
@@ -107,13 +107,7 @@ template <typename T, typename LabelT> PQFlashIndex<T, LabelT>::~PQFlashIndex()
         delete[] _medoids;
     }
 
-    if (_rabitq_reorder_codes != nullptr)
-    {
-        aligned_free(_rabitq_reorder_codes);
-        _rabitq_reorder_codes = nullptr;
-    }
-
-    if (_rabitq_main_codes != nullptr && !_rabitq_main_codes_alias_reorder)
+    if (_rabitq_main_codes != nullptr)
     {
         aligned_free(_rabitq_main_codes);
         _rabitq_main_codes = nullptr;
@@ -812,10 +806,6 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
     std::string medoids_file = std::string(_disk_index_file) + "_medoids.bin";
     std::string centroids_file = std::string(_disk_index_file) + "_centroids.bin";
 
-    // Optional: RaBitQ codes for reorder prefiltering. Stored alongside the disk index file.
-    // File name convention: <index_filepath>_rabitq_reorder.bin
-    std::string rabitq_reorder_file = std::string(_disk_index_file) + "_rabitq_reorder.bin";
-
     // Optional: RaBitQ codes for main-search approximate scoring. Stored alongside the disk index file.
     // File name convention: <index_filepath>_rabitq_main.bin
     std::string rabitq_main_file = std::string(_disk_index_file) + "_rabitq_main.bin";
@@ -847,200 +837,7 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
     this->_disk_bytes_per_point = this->_data_dim * sizeof(T);
     this->_aligned_dim = ROUND_UP(pq_file_dim, 8);
 
-    size_t npts_u64, nchunks_u64;
-#ifdef EXEC_ENV_OLS
-    diskann::load_bin<uint8_t>(files, pq_compressed_vectors, this->data, npts_u64, nchunks_u64);
-#else
-    diskann::load_bin<uint8_t>(pq_compressed_vectors, this->data, npts_u64, nchunks_u64);
-#endif
-
-    this->_num_points = npts_u64;
-    this->_n_chunks = nchunks_u64;
-#ifdef EXEC_ENV_OLS
-    if (files.fileExists(labels_file))
-    {
-        FileContent &content_labels = files.getContent(labels_file);
-        std::stringstream infile(std::string((const char *)content_labels._content, content_labels._size));
-#else
-    if (file_exists(labels_file))
-    {
-        std::ifstream infile(labels_file, std::ios::binary);
-        if (infile.fail())
-        {
-            throw diskann::ANNException(std::string("Failed to open file ") + labels_file, -1);
-        }
-#endif
-        parse_label_file(infile, num_pts_in_label_file);
-        assert(num_pts_in_label_file == this->_num_points);
-
-#ifndef EXEC_ENV_OLS
-        infile.close();
-#endif
-
-#ifdef EXEC_ENV_OLS
-        FileContent &content_labels_map = files.getContent(labels_map_file);
-        std::stringstream map_reader(std::string((const char *)content_labels_map._content, content_labels_map._size));
-#else
-        std::ifstream map_reader(labels_map_file);
-#endif
-        _label_map = load_label_map(map_reader);
-
-#ifndef EXEC_ENV_OLS
-        map_reader.close();
-#endif
-
-#ifdef EXEC_ENV_OLS
-        if (files.fileExists(labels_to_medoids))
-        {
-            FileContent &content_labels_to_meoids = files.getContent(labels_to_medoids);
-            std::stringstream medoid_stream(
-                std::string((const char *)content_labels_to_meoids._content, content_labels_to_meoids._size));
-#else
-        if (file_exists(labels_to_medoids))
-        {
-            std::ifstream medoid_stream(labels_to_medoids);
-            assert(medoid_stream.is_open());
-#endif
-            std::string line, token;
-
-            _filter_to_medoid_ids.clear();
-            try
-            {
-                while (std::getline(medoid_stream, line))
-                {
-                    std::istringstream iss(line);
-                    uint32_t cnt = 0;
-                    std::vector<uint32_t> medoids;
-                    LabelT label;
-                    while (std::getline(iss, token, ','))
-                    {
-                        if (cnt == 0)
-                            label = (LabelT)std::stoul(token);
-                        else
-                            medoids.push_back((uint32_t)stoul(token));
-                        cnt++;
-                    }
-                    _filter_to_medoid_ids[label].swap(medoids);
-                }
-            }
-            catch (std::system_error &e)
-            {
-                throw FileException(labels_to_medoids, e, __FUNCSIG__, __FILE__, __LINE__);
-            }
-        }
-        std::string univ_label_file = std ::string(_disk_index_file) + "_universal_label.txt";
-
-#ifdef EXEC_ENV_OLS
-        if (files.fileExists(univ_label_file))
-        {
-            FileContent &content_univ_label = files.getContent(univ_label_file);
-            std::stringstream universal_label_reader(
-                std::string((const char *)content_univ_label._content, content_univ_label._size));
-#else
-        if (file_exists(univ_label_file))
-        {
-            std::ifstream universal_label_reader(univ_label_file);
-            assert(universal_label_reader.is_open());
-#endif
-            std::string univ_label;
-            universal_label_reader >> univ_label;
-#ifndef EXEC_ENV_OLS
-            universal_label_reader.close();
-#endif
-            LabelT label_as_num = (LabelT)std::stoul(univ_label);
-            set_universal_label(label_as_num);
-        }
-
-#ifdef EXEC_ENV_OLS
-        if (files.fileExists(dummy_map_file))
-        {
-            FileContent &content_dummy_map = files.getContent(dummy_map_file);
-            std::stringstream dummy_map_stream(
-                std::string((const char *)content_dummy_map._content, content_dummy_map._size));
-#else
-        if (file_exists(dummy_map_file))
-        {
-            std::ifstream dummy_map_stream(dummy_map_file);
-            assert(dummy_map_stream.is_open());
-#endif
-            std::string line, token;
-
-            while (std::getline(dummy_map_stream, line))
-            {
-                std::istringstream iss(line);
-                uint32_t cnt = 0;
-                uint32_t dummy_id;
-                uint32_t real_id;
-                while (std::getline(iss, token, ','))
-                {
-                    if (cnt == 0)
-                        dummy_id = (uint32_t)stoul(token);
-                    else
-                        real_id = (uint32_t)stoul(token);
-                    cnt++;
-                }
-                _dummy_pts.insert(dummy_id);
-                _has_dummy_pts.insert(real_id);
-                _dummy_to_real_map[dummy_id] = real_id;
-
-                if (_real_to_dummy_map.find(real_id) == _real_to_dummy_map.end())
-                    _real_to_dummy_map[real_id] = std::vector<uint32_t>();
-
-                _real_to_dummy_map[real_id].emplace_back(dummy_id);
-            }
-#ifndef EXEC_ENV_OLS
-            dummy_map_stream.close();
-#endif
-            diskann::cout << "Loaded dummy map" << std::endl;
-        }
-    }
-
 #ifdef EXEC_ENV_OLS
-    _pq_table.load_pq_centroid_bin(files, pq_table_bin.c_str(), nchunks_u64);
-#else
-    _pq_table.load_pq_centroid_bin(pq_table_bin.c_str(), nchunks_u64);
-#endif
-
-    diskann::cout << "Loaded PQ centroids and in-memory compressed vectors. #points: " << _num_points
-                  << " #dim: " << _data_dim << " #aligned_dim: " << _aligned_dim << " #chunks: " << _n_chunks
-                  << std::endl;
-
-    if (_n_chunks > MAX_PQ_CHUNKS)
-    {
-        std::stringstream stream;
-        stream << "Error loading index. Ensure that max PQ bytes for in-memory "
-                  "PQ data does not exceed "
-               << MAX_PQ_CHUNKS << std::endl;
-        throw diskann::ANNException(stream.str(), -1, __FUNCSIG__, __FILE__, __LINE__);
-    }
-
-    std::string disk_pq_pivots_path = this->_disk_index_file + "_pq_pivots.bin";
-#ifdef EXEC_ENV_OLS
-    if (files.fileExists(disk_pq_pivots_path))
-    {
-        _use_disk_index_pq = true;
-        // giving 0 chunks to make the _pq_table infer from the
-        // chunk_offsets file the correct value
-        _disk_pq_table.load_pq_centroid_bin(files, disk_pq_pivots_path.c_str(), 0);
-#else
-    if (file_exists(disk_pq_pivots_path))
-    {
-        _use_disk_index_pq = true;
-        // giving 0 chunks to make the _pq_table infer from the
-        // chunk_offsets file the correct value
-        _disk_pq_table.load_pq_centroid_bin(disk_pq_pivots_path.c_str(), 0);
-#endif
-        _disk_pq_n_chunks = _disk_pq_table.get_num_chunks();
-        _disk_bytes_per_point =
-            _disk_pq_n_chunks * sizeof(uint8_t); // revising disk_bytes_per_point since DISK PQ is used.
-        diskann::cout << "Disk index uses PQ data compressed down to " << _disk_pq_n_chunks << " bytes per point."
-                      << std::endl;
-    }
-
-// read index metadata
-#ifdef EXEC_ENV_OLS
-    // This is a bit tricky. We have to read the header from the
-    // disk_index_file. But  this is now exclusively a preserve of the
     // DiskPriorityIO class. So, we need to estimate how many
     // bytes are needed to store the header and read in that many using our
     // 'standard' aligned file reader approach.
@@ -1147,248 +944,89 @@ int PQFlashIndex<T, LabelT>::load_from_separate_paths(uint32_t num_threads, cons
 
 #endif
 
-    // Load RaBitQ reorder codes (optional)
-#ifndef EXEC_ENV_OLS
-    if (file_exists(rabitq_reorder_file))
+    // Load RaBitQ main-search codes (optional)
+#ifdef EXEC_ENV_OLS
+    if (files.fileExists(rabitq_main_file))
     {
-        struct RaBitQReorderHeader
-        {
-            char magic[8];
-            uint32_t version;
-            uint32_t metric;
-            uint32_t nb_bits;
-            uint32_t dim;
-            uint64_t num_points;
-            uint64_t code_size;
-        };
-
-        std::ifstream in(rabitq_reorder_file, std::ios::binary);
-        if (!in.is_open())
+        FileContent &content = files.getContent(rabitq_main_file);
+        if (content._size >= sizeof(diskann::rabitq::RaBitQCodeHeader))
         {
-            throw diskann::ANNException(std::string("Failed to open RaBitQ reorder code file ") + rabitq_reorder_file,
-                                        -1);
+            diskann::rabitq::RaBitQCodeHeader hdr;
+            std::memcpy(&hdr, content._content, sizeof(hdr));
+            if (diskann::rabitq::validate_header(hdr) && hdr.num_points == this->_num_points && hdr.dim == this->_data_dim)
+            {
+                const uint64_t expected_code_size =
+                    static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
+                if (hdr.code_size == expected_code_size)
+                {
+                    const uint64_t total_bytes = static_cast<uint64_t>(hdr.num_points) * static_cast<uint64_t>(hdr.code_size);
+                    const uint64_t need = sizeof(hdr) + total_bytes;
+                    if (content._size >= need)
+                    {
+                        const uint64_t alloc_bytes = ROUND_UP(total_bytes, 64);
+                        if (_rabitq_main_codes != nullptr)
+                            aligned_free(_rabitq_main_codes);
+                        diskann::alloc_aligned((void **)&_rabitq_main_codes, alloc_bytes, 64);
+                        std::memset(_rabitq_main_codes, 0, alloc_bytes);
+                        std::memcpy(_rabitq_main_codes, (const uint8_t *)content._content + sizeof(hdr), total_bytes);
+                        _rabitq_main_codes_exist = true;
+                        _rabitq_main_code_size = hdr.code_size;
+                        _rabitq_main_dim = hdr.dim;
+                        _rabitq_main_nb_bits = hdr.nb_bits;
+                        _rabitq_main_metric = hdr.metric;
+                    }
+                }
+            }
         }
-
-        RaBitQReorderHeader hdr;
-        in.read(reinterpret_cast<char *>(&hdr), sizeof(hdr));
-        if (!in.good())
+    }
+#else
+    if (file_exists(rabitq_main_file))
+    {
+        try
         {
-            throw diskann::ANNException(std::string("Failed to read RaBitQ reorder code header from ") +
-                                            rabitq_reorder_file,
-                                        -1);
-        }
+            std::ifstream in(rabitq_main_file, std::ios::binary);
+            if (!in)
+                throw diskann::ANNException(std::string("Failed to open RaBitQ main code file ") + rabitq_main_file, -1);
 
-        const std::string magic(hdr.magic, hdr.magic + 7);
-        if (magic != std::string("DARBQ1\0", 7) && magic != std::string("DARBQ1", 5))
-        {
-            throw diskann::ANNException(std::string("Invalid RaBitQ reorder code magic in ") + rabitq_reorder_file,
-                                        -1);
-        }
+            diskann::rabitq::RaBitQCodeHeader hdr;
+            in.read(reinterpret_cast<char *>(&hdr), sizeof(hdr));
+            if (!in)
+                throw diskann::ANNException(std::string("Failed to read RaBitQ main code header from ") + rabitq_main_file,
+                                            -1);
 
-        if (hdr.version != 1)
-        {
-            throw diskann::ANNException(std::string("Unsupported RaBitQ reorder code version in ") +
-                                            rabitq_reorder_file,
-                                        -1);
-        }
+            if (!diskann::rabitq::validate_header(hdr) || hdr.num_points != this->_num_points || hdr.dim != this->_data_dim)
+                throw diskann::ANNException(std::string("Invalid RaBitQ main code header in ") + rabitq_main_file, -1);
 
-        if (hdr.num_points != this->_num_points)
-        {
-            throw diskann::ANNException(std::string("RaBitQ reorder code file point count mismatch: ") +
-                                            std::to_string(hdr.num_points) + " vs index " +
-                                            std::to_string(this->_num_points),
-                                        -1);
-        }
+            const uint64_t expected_code_size =
+                static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
+            if (hdr.code_size != expected_code_size)
+                throw diskann::ANNException(std::string("RaBitQ main code_size mismatch in ") + rabitq_main_file, -1);
 
-        if (hdr.code_size == 0 || hdr.dim == 0 || hdr.nb_bits < 1 || hdr.nb_bits > 9)
-        {
-            throw diskann::ANNException(std::string("Invalid RaBitQ reorder code header fields in ") +
-                                            rabitq_reorder_file,
-                                        -1);
-        }
+            const uint64_t total_bytes = static_cast<uint64_t>(hdr.num_points) * static_cast<uint64_t>(hdr.code_size);
+            const uint64_t alloc_bytes = ROUND_UP(total_bytes, 64);
 
-        const uint64_t expected_code_size =
-            static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
-        if (hdr.code_size != expected_code_size)
-        {
-            throw diskann::ANNException(std::string("RaBitQ reorder code_size mismatch in ") + rabitq_reorder_file +
-                                            ": header=" + std::to_string(hdr.code_size) +
-                                            " expected=" + std::to_string(expected_code_size),
-                                        -1);
-        }
+            if (_rabitq_main_codes != nullptr)
+                aligned_free(_rabitq_main_codes);
+            diskann::alloc_aligned((void **)&_rabitq_main_codes, alloc_bytes, 64);
+            std::memset(_rabitq_main_codes, 0, alloc_bytes);
 
-        // For safety, require code dim to match reorder vector dim (if reorder exists), otherwise allow.
-        if (this->_reorder_data_exists && hdr.dim != this->_ndims_reorder_vecs)
-        {
-            diskann::cout << "RaBitQ reorder dim (" << hdr.dim << ") does not match reorder vector dim ("
-                          << this->_ndims_reorder_vecs << "), disabling RaBitQ reorder prefilter." << std::endl;
-        }
-        else
-        {
-            const uint64_t total_bytes = hdr.num_points * hdr.code_size;
-            if (_rabitq_reorder_codes != nullptr)
-                aligned_free(_rabitq_reorder_codes);
-
-            const size_t alloc_bytes = static_cast<size_t>(ROUND_UP(total_bytes, 64));
-            diskann::alloc_aligned((void **)&_rabitq_reorder_codes, alloc_bytes, 64);
-            std::memset(_rabitq_reorder_codes, 0, alloc_bytes);
-
-            in.read(reinterpret_cast<char *>(_rabitq_reorder_codes), total_bytes);
-            if (!in.good())
+            in.read(reinterpret_cast<char *>(_rabitq_main_codes), total_bytes);
+            if (!in)
             {
-                aligned_free(_rabitq_reorder_codes);
-                _rabitq_reorder_codes = nullptr;
-                throw diskann::ANNException(std::string("Failed to read RaBitQ reorder codes from ") +
-                                                rabitq_reorder_file,
-                                            -1);
+                aligned_free(_rabitq_main_codes);
+                _rabitq_main_codes = nullptr;
+                throw diskann::ANNException(std::string("Failed to read RaBitQ main codes from ") + rabitq_main_file, -1);
             }
 
-            _rabitq_reorder_codes_exist = true;
-            _rabitq_reorder_code_size = hdr.code_size;
-            _rabitq_reorder_dim = hdr.dim;
-            _rabitq_reorder_nb_bits = hdr.nb_bits;
-            _rabitq_reorder_metric = hdr.metric;
-            diskann::cout << "Loaded RaBitQ reorder codes: nb_bits=" << _rabitq_reorder_nb_bits
-                          << " dim=" << _rabitq_reorder_dim << " code_size=" << _rabitq_reorder_code_size
-                          << " from " << rabitq_reorder_file << std::endl;
-        }
-    }
-#endif
-
-    // Load RaBitQ main-search codes (optional)
-#ifndef EXEC_ENV_OLS
-    {
-        const bool main_exists = file_exists(rabitq_main_file);
-        const bool reorder_exists = file_exists(rabitq_reorder_file);
-
-        // If no dedicated main file exists, prefer aliasing reorder codes (if already loaded)
-        // to avoid doubling memory.
-        if (!main_exists && reorder_exists && _rabitq_reorder_codes_exist && _rabitq_reorder_codes != nullptr &&
-            _rabitq_reorder_dim == this->_data_dim)
-        {
             _rabitq_main_codes_exist = true;
-            _rabitq_main_codes = _rabitq_reorder_codes;
-            _rabitq_main_code_size = _rabitq_reorder_code_size;
-            _rabitq_main_dim = _rabitq_reorder_dim;
-            _rabitq_main_nb_bits = _rabitq_reorder_nb_bits;
-            _rabitq_main_metric = _rabitq_reorder_metric;
-            _rabitq_main_codes_alias_reorder = true;
-            diskann::cout << "RaBitQ main code file not found; aliasing reorder codes as main codes: "
-                          << rabitq_reorder_file << std::endl;
+            _rabitq_main_code_size = hdr.code_size;
+            _rabitq_main_dim = hdr.dim;
+            _rabitq_main_nb_bits = hdr.nb_bits;
+            _rabitq_main_metric = hdr.metric;
         }
-        else
+        catch (const std::exception &e)
         {
-            const std::string file_to_load = main_exists ? rabitq_main_file : (reorder_exists ? rabitq_reorder_file : std::string());
-            if (!file_to_load.empty())
-            {
-                struct RaBitQReorderHeader
-                {
-                    char magic[8];
-                    uint32_t version;
-                    uint32_t metric;
-                    uint32_t nb_bits;
-                    uint32_t dim;
-                    uint64_t num_points;
-                    uint64_t code_size;
-                };
-
-                std::ifstream in(file_to_load, std::ios::binary);
-                if (!in.is_open())
-                {
-                    throw diskann::ANNException(std::string("Failed to open RaBitQ main code file ") + file_to_load,
-                                                -1);
-                }
-
-                RaBitQReorderHeader hdr;
-                in.read(reinterpret_cast<char *>(&hdr), sizeof(hdr));
-                if (!in.good())
-                {
-                    throw diskann::ANNException(std::string("Failed to read RaBitQ main code header from ") +
-                                                    file_to_load,
-                                                -1);
-                }
-
-                const std::string magic(hdr.magic, hdr.magic + 7);
-                if (magic != std::string("DARBQ1\0", 7) && magic != std::string("DARBQ1", 5))
-                {
-                    throw diskann::ANNException(std::string("Invalid RaBitQ main code magic in ") + file_to_load, -1);
-                }
-
-                if (hdr.version != 1)
-                {
-                    throw diskann::ANNException(std::string("Unsupported RaBitQ main code version in ") +
-                                                    file_to_load,
-                                                -1);
-                }
-
-                if (hdr.num_points != this->_num_points)
-                {
-                    throw diskann::ANNException(std::string("RaBitQ main code file point count mismatch: ") +
-                                                    std::to_string(hdr.num_points) + " vs index " +
-                                                    std::to_string(this->_num_points),
-                                                -1);
-                }
-
-                if (hdr.dim != this->_data_dim)
-                {
-                    diskann::cout << "RaBitQ main code dim (" << hdr.dim << ") does not match index dim ("
-                                  << this->_data_dim << "), disabling RaBitQ main scoring." << std::endl;
-                }
-                else if (hdr.code_size == 0 || hdr.nb_bits < 1 || hdr.nb_bits > 9)
-                {
-                    throw diskann::ANNException(std::string("Invalid RaBitQ main code header fields in ") +
-                                                    file_to_load,
-                                                -1);
-                }
-                else
-                {
-                    const uint64_t expected_code_size =
-                        static_cast<uint64_t>(diskann::rabitq::compute_code_size(hdr.dim, hdr.nb_bits));
-                    if (hdr.code_size != expected_code_size)
-                    {
-                        throw diskann::ANNException(std::string("RaBitQ main code_size mismatch in ") + file_to_load +
-                                                        ": header=" + std::to_string(hdr.code_size) +
-                                                        " expected=" + std::to_string(expected_code_size),
-                                                    -1);
-                    }
-
-                    const uint64_t total_bytes = hdr.num_points * hdr.code_size;
-
-                    if (_rabitq_main_codes != nullptr && !_rabitq_main_codes_alias_reorder)
-                        aligned_free(_rabitq_main_codes);
-
-                    _rabitq_main_codes_alias_reorder = false;
-                    const size_t alloc_bytes = static_cast<size_t>(ROUND_UP(total_bytes, 64));
-                    diskann::alloc_aligned((void **)&_rabitq_main_codes, alloc_bytes, 64);
-                    std::memset(_rabitq_main_codes, 0, alloc_bytes);
-
-                    in.read(reinterpret_cast<char *>(_rabitq_main_codes), total_bytes);
-                    if (!in.good())
-                    {
-                        aligned_free(_rabitq_main_codes);
-                        _rabitq_main_codes = nullptr;
-                        throw diskann::ANNException(std::string("Failed to read RaBitQ main codes from ") +
-                                                        file_to_load,
-                                                    -1);
-                    }
-
-                    _rabitq_main_codes_exist = true;
-                    _rabitq_main_code_size = hdr.code_size;
-                    _rabitq_main_dim = hdr.dim;
-                    _rabitq_main_nb_bits = hdr.nb_bits;
-                    _rabitq_main_metric = hdr.metric;
-
-                    if (!main_exists)
-                    {
-                        diskann::cout << "RaBitQ main code file not found; loaded reorder code file as main codes: "
-                                      << file_to_load << std::endl;
-                    }
-
-                    diskann::cout << "Loaded RaBitQ main codes: nb_bits=" << _rabitq_main_nb_bits
-                                  << " dim=" << _rabitq_main_dim << " code_size=" << _rabitq_main_code_size
-                                  << " from " << file_to_load << std::endl;
-                }
-            }
+            diskann::cout << "Warning: failed to load RaBitQ main codes: " << e.what() << std::endl;
         }
     }
 #endif
@@ -1954,44 +1592,6 @@ void PQFlashIndex<T, LabelT>::cached_beam_search(const T *query1, const uint64_t
         if (full_retset.size() > k_search * FULL_PRECISION_REORDER_MULTIPLIER)
             full_retset.erase(full_retset.begin() + k_search * FULL_PRECISION_REORDER_MULTIPLIER, full_retset.end());
 
-        // Optional: RaBitQ prefilter to prune reorder IO for INNER_PRODUCT.
-        // Enable via env var DISKANN_USE_RABITQ_REORDER_PREFILTER=1.
-        // Control target multiplier via DISKANN_RABITQ_REORDER_PREFILTER_MULT (default: FULL_PRECISION_REORDER_MULTIPLIER).
-        const char *use_rabitq_env = std::getenv("DISKANN_USE_RABITQ_REORDER_PREFILTER");
-        const bool use_rabitq_prefilter =
-            (use_rabitq_env != nullptr && std::atoi(use_rabitq_env) != 0 && _rabitq_reorder_codes_exist &&
-             _rabitq_reorder_codes != nullptr && metric == diskann::Metric::INNER_PRODUCT);
-
-        if (use_rabitq_prefilter)
-        {
-            uint64_t mult = FULL_PRECISION_REORDER_MULTIPLIER;
-            if (const char *mult_env = std::getenv("DISKANN_RABITQ_REORDER_PREFILTER_MULT"))
-            {
-                const int v = std::atoi(mult_env);
-                if (v > 0)
-                    mult = static_cast<uint64_t>(v);
-            }
-
-            const uint64_t target = std::min<uint64_t>(full_retset.size(), k_search * mult);
-            if (target < full_retset.size())
-            {
-                // Score all candidates using RaBitQ and keep the best 'target'.
-                for (auto &nbr : full_retset)
-                {
-                    const uint64_t id = nbr.id;
-                    const uint8_t *code = _rabitq_reorder_codes + id * _rabitq_reorder_code_size;
-                    const float approx_ip = diskann::rabitq::approx_inner_product_from_code(
-                        code, query_float, static_cast<size_t>(_rabitq_reorder_dim),
-                        static_cast<size_t>(_rabitq_reorder_nb_bits));
-                    nbr.distance = -approx_ip;
-                }
-
-                std::nth_element(full_retset.begin(), full_retset.begin() + target, full_retset.end());
-                full_retset.erase(full_retset.begin() + target, full_retset.end());
-                std::sort(full_retset.begin(), full_retset.end());
-            }
-        }
-
         for (size_t i = 0; i < full_retset.size(); ++i)
         {
             // MULTISECTORFIX

From fd601a69727f2772a594bb93ed47c5a5b2c653b2 Mon Sep 17 00:00:00 2001
From: xtangxtang <xi.tang@intel.com>
Date: Tue, 13 Jan 2026 11:10:13 +0800
Subject: [PATCH 13/13] remove readme-changed

---
 README-changed.md | 31 -------------------------------
 1 file changed, 31 deletions(-)
 delete mode 100644 README-changed.md

diff --git a/README-changed.md b/README-changed.md
deleted file mode 100644
index 9feeadf3c..000000000
--- a/README-changed.md
+++ /dev/null
@@ -1,31 +0,0 @@
-# PR: Remove RaBitQ reorder-prefilter + README cleanup
-
-## What changed
-
-This PR removes the previously added **RaBitQ reorder prefilter** feature end-to-end, while keeping **RaBitQ main-search approximate scoring** support.
-
-### DiskANN core (SSD search)
-
-- Removed all reorder-prefilter state and logic from `PQFlashIndex`.
-  - No longer loads/uses `<index>_rabitq_reorder.bin`.
-  - No longer supports `DISKANN_USE_RABITQ_REORDER_PREFILTER` / related tuning env vars.
-- Kept RaBitQ **main traversal** approximate scorer support (runtime-gated).
-
-### Build / CLI integration
-
-- Removed build-time generation options and plumbing for reorder-prefilter codes.
-- Removed the reorder-code generator app from the build targets.
-
-### Documentation
-
-- Removed the entire “RaBitQ multi-bit reorder prefilter” section from the top-level README.
-- Updated the RaBitQ main-search README section to remove the old fallback wording that referenced reorder-code sidecars.
-
-## Why
-
-The reorder-prefilter mode is no longer desired; maintaining only the RaBitQ main-search mode simplifies the feature surface and avoids documenting/maintaining a removed behavior.
-
-## Notes
-
-- RaBitQ main-search mode remains runtime-gated (disabled by default).
-- If you have existing indexes/code sidecars produced for reorder-prefilter, they are no longer consumed by the library.