AuditRAG

About

Production-grade Retrieval-Augmented Generation platform. Upload any PDF, chat with it using hybrid search (dense + sparse + RRF fusion), and get cited answers. The system auto-generates evaluation datasets on ingestion, runs quality harnesses (exact match, token F1), and tracks per-query observability — latency percentiles, token usage, and cost. Built with FastAPI, Qdrant, PostgreSQL, and a React + TypeScript frontend. Demonstrates the full RAG lifecycle: ingestion, retrieval, generation, evaluation, and monitoring.

Technologies

Links