RAGFlow
Deep-document-understanding RAG engine with visual pipeline editor
About
Open-source RAG engine built on deep document understanding — handles tables, figures, and complex layouts in PDFs that chunk-based RAG misses. Includes a visual DAG pipeline editor for building extraction and retrieval workflows. One of the fastest-growing RAG projects of 2025 with 40K+ GitHub stars.
Choose RAGFlow when…
- •Your RAG pipeline ingests complex PDFs with tables and figures
- •You want a visual no-code pipeline editor for RAG workflows
- •You need document understanding beyond simple text chunking
Builder Slot
The pipeline layer that connects LLM calls, retrieval, and data processing into a workflow
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ragflow-sdkIntegrates with (1)
RAGFlow uses OpenAI models out of the box for embeddings, parsing, and generation, configurable from the workflow editor.
→ Stand up an end-to-end RAG pipeline on RAGFlow with OpenAI models in minutes.
Alternatives to consider (3)
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Crossed 50,000 stars ⭐
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