Retrieval-Augmented Generation knowledge base with vector search and AI-powered responses.
RAG Knowledge Base is a document-grounded AI application that combines vector search with large language models to answer questions from your own data. It ingests documents, stores embeddings in a vector database, and retrieves relevant context to generate accurate, cited responses.
- Python, FastAPI
- ChromaDB (vector storage)
- Claude API
- React (frontend)
Active development - core architecture and project structure established.