🧠 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.