Open source
RAGFlow: 89K Stars for Smarter Document AI
Discover RAGFlow, the open-source RAG engine that understands documents deeply. See how it uses OCR and layout analysis to answer questions with citations. Perfect for building AI apps over messy documents. Learn more at
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One open source project gained over eighty nine thousand stars on GitHub. That is huge for a tool that helps computers read documents. It even beat paid services on tricky tables. You are building an app that answers questions from your files. But your PDFs have messy layouts and scanned pages. Simple search fails. You need a tool that truly understands the document structure. Meet RAGFlow, an open source project. It is a retrieval engine that reads documents with OCR and layout models. Then it finds answers and shows you the exact source. You can self host it. Watch it parse a messy PDF. It spots tables and headings before splitting text. Then you see the chunks and citations. Users say it caught tables that AWS Textract missed. RAGFlow turns messy documents into clear answers. It is open source and free to try.
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