RAGFlow
9.2VerifiedRAGFlow is an open-source Retrieval-Augmented Generation platform for building AI knowledge assistants.
Overview
RAGFlow is an open-source Retrieval-Augmented Generation platform for building AI knowledge assistants.
RAGFlow is a free rag framework built for developers, enterprises. It supports rag, search, chat. A developer API is available for integrations. It is hybrid and open source. It holds a rating of 9.2/10 on FindurAI.
Best For
Building enterprise RAG applications
- Pricing
- Free
- Free plan
- Available
- Developer API
- Available
- Mobile app
- Not available
Key Features
RAGFlow's core feature set includes knowledge base, document parsing, vector search, and multi-llm support.
More About RAGFlow
RAGFlow is most commonly used for knowledge base, document analysis, and ai chatbots.
On the capability side, it supports rag, search, and chat. It's built on rag, llm, search, and ocr AI technology.
RAGFlow is available on Web, Linux, and API, and can be deployed via self hosted, local, and cloud. Hosting is hybrid and the project is open source.
A developer API is available, so RAGFlow can be integrated directly into your own applications and workflows. It integrates with REST API, Docker, and Python.
Pros
- Open source
- Document indexing
- Multi-model support
- Enterprise ready
Cons
- Requires deployment
- Advanced configuration
- Limited mobile experience
Frequently Asked Questions
Does it support RAG?
Yes.
Is it open source?
Yes.
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