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🧠 Auditable & Traceable AI Chatbot Backend

A production-ready AI chatbot backend built with a strong focus on auditability, traceability, privacy, and compliance. This project is designed for enterprise and regulated environments where every AI response must be reproducible, explainable, and verifiable.

📌 Overview

This backend implements a deterministic, version-controlled AI response pipeline. For every request, the system captures all relevant inputs, retrieves grounded knowledge using RAG (Retrieval-Augmented Generation), generates responses using a fixed model configuration, masks sensitive data, and logs everything required for full audit replay.

The architecture is suitable for compliance-driven use cases such as legal, financial, healthcare, and internal enterprise AI systems.

✨ Key Features

Versioned system & developer prompts

Deterministic response generation (configurable temperature)

RAG implementation using FAISS

Document, chunk, and metadata versioning

Full retrieval traceability (document IDs, versions, hashes)

Automated PII masking (names, emails, phone numbers, IDs, etc.)

Compliance-safe decision summaries (no chain-of-thought exposure)

Complete request & response audit logs

Exact response replay support

CI-ready automated testing

🛠 Tech Stack

Python

FastAPI

Uvicorn

Ollama (local / open-source LLMs)

FAISS (vector database)

JSON-based structured storage

RAG architecture

🔍 Auditability & Traceability

Each AI response persists:

Request ID & timestamp

Prompt version IDs

Model provider & exact model version

User preferences applied

Retrieved document IDs, versions & content hashes

Final response output

This enables full transparency and response replay.

🧪 Testing & Reliability

Accuracy & regression tests

Hallucination detection

Determinism validation

Versioned evaluation datasets

Structured logging, tracing, and error handling

Configurable retries, caching, and fallback models

🚫 Non-Goals

UI / UX polish

Marketing features

Model fine-tuning (unless added later)

🎯 Goal

Deliver a compliance-ready, auditable AI chatbot backend suitable for real-world enterprise deployment.

About

This repository contains a production-ready AI chatbot backend built with a strong emphasis on auditability, traceability, privacy, and compliance. It is designed for enterprise and regulated environments where every AI response must be explainable, reproducible, and verifiable.

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