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[GitHub Trending] infiniflow/ragflow

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Leading open-source RAG engine with agent capabilities, highly relevant to AI/ML and data engineering.

AI/ML github.com
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs - infiniflow/ragflow
Summary

RAGFlow is an open-source RAG engine that combines retrieval-augmented generation with agent capabilities, offering a converged context engine and pre-built agent templates for enterprise AI workflows. It supports deep document understanding, template-based chunking, grounded citations, and heterogeneous data sources, with recent updates adding agentic workflows, MCP support, multi-channel chat (Feishu, Discord, Telegram), and integration with DeepSeek v4 and Gemini 3 Pro. Self-hosting requires 4 CPU cores, 16 GB RAM, Docker, and Python 3.13, with optional gVisor for code execution sandboxing.

Author

infiniflow