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RAGFlow is a leading open source retrieval-augmented generation (RAG) engine that incorporates cutting-edge

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An LLM-driven knowledge curation system that researches topics and generates full-text reports

This repository demonstrates various advanced techniques for retrieving augmented generation (RAG) systems

Hundreds of models and providers. One command can find what is running on the hardware.

Open source LLM knowledge platform: convert original documents into queryable RAG for autonomous reasoning

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