infiniflow/ragflow
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
- Active development
- Recently released v0.27.1
- Documentation with live examples
- Present in 2 independent sources
- Maintained for 2+ years
- AIHigh star count (90k+) and active development (2400+ commits in 90 days) indicate significant community interest and stability.
- AICombines RAG with agent capabilities, representing a specific technical approach to LLM context management.
- AIProvides comprehensive documentation, self-hosting guides, and support for multiple languages and data sources.
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RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that integrates agent capabilities to provide a context layer for LLMs, featuring deep document understanding and automated RAG workflows. It is a highly active project with significant community adoption, offering self-hosting options via Docker and support for various data sources and LLMs.
Type: Tool · appears open source · long-term relevance: yes
Generated from the sources below; where they disagree, the sources win.
- GitHub ↗observed Sep 7, 2026
- GitHub ↗observed Sep 7, 2026
- GitHub ↗observed Sep 7, 2026
- Official website ↗observed Sep 7, 2026
- Sep 7, 2026★ 90,180v0.27.1
- Sep 7, 2026official website
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