ENDEVSOLS

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex, or any RAG pipeline. pip install longtracer. Maintained by ENDEVSOLS on GitHub, where it has earned 36 stars from the community.

Privacy-first document intelligence engine — parse PDFs, DOCX, PPTX, XLSX & CSV into AI-ready chunks for RAG pipelines. Includes HITL review, 3-layer memory chat, and a production FastAPI server. Maintained by ENDEVSOLS on GitHub, where it has earned 30 stars from the community.

Production-ready RAG framework for Python — multi-tenant chatbots with streaming, tool calling, agent mode (LangGraph), vector search (FAISS), and persistent MongoDB memory. Built on LangChain. Maintained by ENDEVSOLS on GitHub, where it has earned 30 stars from the community.