ragflow
RAGFlow is an open-source infrastructure aimed at creating contextual layers for large language models, combining RAG and agent capabilities. It has the ability to extract information from complex documents, offer template-based fragmentation and verifiable quotations. It can work integrated with different data sources and provides customizable RAG workflows.
ragflow
100infiniflow · AI Agent Frameworks
Common commercial products in this category: OpenAI Assistants API, Microsoft Copilot Studio, Amazon Bedrock Agents
- You can extract and analyze data from complex format documents.
- You can manage RAG workflows by syncing different data sources.
- At the document and data cluster level, you can generate compiled information outputs such as wiki, information graph, mind map, and timeline.
- • High number of open issues (1,311)
- • NeutralHacker News
RAGFlow is an open-source RAG engine based on OCR and document parsing
“I'm partly sad at the approach this and other engines take: reimplement each part (PDF parser, etc etc) in a way where they are pretty much useless except in their specific engine. If instead we had a PDF() class that did what RAGFlow is doing (dealing with all the different…”
- • NeutralHacker News
RAGFlow is an open-source RAG engine based on OCR and document parsing
“This is because PDF has so many different versions. A third-party tools like pdfplumber won't fit it all. For example, using pdfplumber to parse some PDFs will cause the system to raise exceptions. Sometimes fitz works in situations where pdfplumber won't handle well. It looks a…”
Verified against README · Oct 25, 2026 · source
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