This project implements a retrieval-augmented generation system that constructs knowledge graphs dynamically during query time using SQL. It combines vector search with graph-based information retrieval to enhance LLM responses with structured knowledge. The system is built with Python and FastAPI on the backend, with a Next.js frontend interface.