Interactive-RAG

An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base, switch embedding models, and tune retrieval parameters on-the-fly through a conversational interface. Maintained by ranfysvalle02 on GitHub, where it has earned 42 stars from the community.

It's actively developed around azure-openai, embeddings, genai, and is a solid reference for anyone building with these tools.