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RAGFlow review

Freemium#4 of 26 in Retrieval-Augmented Generation Tools

Deep-document RAG with hybrid retrieval, citations, workflows, and self-hosting.

8.8/10Editor score
RAGFlow8.8 Visit RAGFlow

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

RAGFlow is an open-source retrieval-augmented generation engine for developers and enterprises building AI assistants and agent applications. It is designed for teams working with complex, multi-format data and supports hosted use, HTTP and Python APIs, and local deployment with Docker. Its feature set also covers visual agent and RAG workflows, giving teams a way to coordinate agents, tools, and MCPs within a broader application architecture.

Retrieval is the product’s central strength. RAGFlow combines vector search, BM25, and custom scoring, then adds advanced result reranking for retrieval refinement. Deep document understanding and multi-format ingestion target documents that need more than basic text splitting, while template-based chunking supports manual intervention. Grounded answers with traceable citations are useful when teams need to inspect how generated responses connect to source material. These capabilities make RAGFlow a strong fit for document-heavy assistants and applications where retrieval quality and answer traceability matter.

The plan structure starts with a Free tier offering five apps, one team member, 0.1 GB of dataset storage, and 500 credits per month; an API key is not available there. Starter is $29 per month with 50 apps, five team members, 5 GB of storage, 5,000 credits per month, and API key access. Pro is $129 per month with unlimited apps, 20 team members, 50 GB of storage, and 20,000 credits per month. Enterprise adds BYOC deployment, on-premises deployment, dedicated support, and a custom SLA. RAGFlow suits teams seeking affordable deep-document RAG with deployment flexibility. Teams needing API access on the free tier or enterprise support without an Enterprise plan should look elsewhere.

RAGFlow pros and cons

  • Where it wins
    • Hybrid search combines vector search, BM25, and custom scoring.
    • Grounded answers include traceable citations and advanced reranking.
    • Hosted, API, and Docker deployment support flexible implementation.
  • Where it doesn't
    • The Free plan does not include an API key.
    • Free storage is limited to 0.1 GB and five apps.
    • Enterprise features require a separate plan with custom terms.

RAGFlow fact sheet, pricing and score →

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