Generic RAG implementation
Project description
Klea RAG
Klea is a suite of AI tools for Neuroscience.
This package provides a generic RAG (Retrieval Augmented Generation) pipeline with multi-domain support. It implements a LangChain/LangGraph state machine for answering queries over your own documents. Features:
- multi-domain support with automatic query classification
- vector store retrieval from Chroma, Qdrant, and PGVector backends
- answer evaluation with iterative improvement loops
- MCP tool integration for live data access
- FastAPI server, CLI client, and Streamlit web UI
Documentation: https://neuroklea.org
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