Document Q&A System
Project Overview
Built a production-ready Retrieval-Augmented Generation system enabling natural language querying of large document collections. Features semantic search, citation tracking, and conversation history.
📊 Results & Impact
Reduced document review time by 70%, processing 1000+ page documents instantly.