RAGFlow is an open-source RAG engine built on deep document understanding, extracting clean structure from complex files to give LLMs grounded, cited answers.
| Category | LLM / RAG framework |
| Type | RAG engine |
| License | Apache-2.0 |
| Runs locally | Self-hosted |
| Built with | Python |
| Skill level | Intermediate |
| Best for | RAG over messy, complex documents |
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PhoenixTrace, evaluate and debug LLM appsRAGFlow is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. RAGFlow is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include LangChain, LlamaIndex, Haystack. See the comparisons above to choose.
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