RAG Knowledge Base

RAG Knowledge Base is a Retrieval-Augmented Generation document Q&A system that lets users upload documents and ask questions, receiving AI-generated answers with precise citations. It uses TF-IDF vectorization to index content and retrieves relevant passages before generating responses, ensuring transparency. Users can manage multiple document collections and explore source materials directly.