RAGFlow
Open-source RAG engine for document understanding and Q&A with LLMs.
Pricing
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Flat rate
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Open Source
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—Overview
What is RAGFlow?
RAGFlow is an open-source Retrieval-Augmented Generation (RAG) framework designed to help developers build applications that understand documents and answer questions using Large Language Models (LLMs). It simplifies the process of integrating document retrieval and question answering capabilities into your projects.
Key differentiator
“RAGFlow stands out as a fully open-source, self-hosted RAG framework, offering developers the flexibility to integrate document understanding and question answering capabilities into their projects without cloud dependency.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Teams building applications that require integration of document retrieval and question answering with LLMs.
Projects needing a self-hosted RAG solution without cloud dependency.
Developers looking for an open-source alternative to proprietary RAG frameworks.
✕ Not a fit for
Applications requiring real-time streaming capabilities (RAGFlow is designed for batch processing).
Teams that prefer managed services over self-hosting solutions.
Cost structure
Pricing
Free Tier
None
Starts at
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Model
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Performance benchmarks
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Ecosystem
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Next step
Get Started with RAGFlow
Step-by-step setup guide with code examples and common gotchas.