PythonFastAPIChromaDBOpenAI
Enterprise RAG System
A personal, observable RAG system for structured knowledge built for reliability and traceability in production.
A production-oriented RAG system designed around observability and reliability not just retrieval accuracy. Every query, retrieved chunk, and generated answer is logged with trace IDs so failures can be debugged and the system improved over time.
Problem
Most RAG demos work in notebooks but fail silently in production. When the system returns a wrong answer, there is no way to know whether it was a retrieval failure or a generation failure.
Solution
A FastAPI backend with ChromaDB for vector storage, hybrid retrieval (dense + sparse BM25), and a structured logging layer that records every step of the pipeline with unique trace IDs.