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RAGFlow

lastmod 2026-08-13created 2026-08-131 edits

Open-source RAG engine based on OCR and document parsing

An open-source RAG (retrieval-augmented generation) engine based on deep document understanding

Adds a streamlined RAG workflow to businesses of any size, and provides LLMs with factual question-answering capabilities backed by well-grounded citations from data in various complex formats

Key features

  • "Quality in, quality out" : Knowledge extraction from unstructured data with complex formats, based on deep document understanding. Enables "finding a needle in a data haystack" across unlimited tokens
  • Template-based chunking : Intelligent and easy to explain. Choose from a variety of template options
  • Reduced hallucinations through grounded citations : Visualizes text chunking to allow human intervention. Supports well-grounded answers by quickly checking key references and traceable citations
  • Compatibility with heterogeneous data sources : Supports Word, slides, Excel, txt, images, scanned copies, structured data, web pages, and more
  • Automated and easy RAG workflow
    • Streamlined RAG orchestration for both individuals and large enterprises
    • Configurable LLMs, including embedding models
    • Multiple recall combined with fused reranking
    • Intuitive APIs for seamless integration with businesses

See also

  • OCR
  • OpenDocuments – An open-source RAG platform for searching scattered organizational documents in natural language

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