Retrieval-Augmented Generation, visualized for anyone.
Retrieval-Augmented Generation is a method where the system searches through documents to answer a question, instead of relying only on what it learned during training. This keeps answers grounded and reduces hallucination. This project explores how that mechanism actually works, visualizes it so it is understandable for non-technical people, and documents the process of trying to get it working.