Quick facts
- Best for
- RAGFlow - Open Source RAG Engine for Agent Context
- Pricing
- Free
- Editor rating
- 4.5 / 5
- Community saves
- 4
About RAGFlow
RAGFlow is an open-source Retrieval-Augmented Generation engine from the InfinityFlow project. The GitHub repository describes it as a RAG engine that combines retrieval, document understanding, and agent capabilities so teams can create a stronger context layer for LLM applications.
Pros
- Document ingestion and parsing for RAG knowledge bases
- Retrieval-Augmented Generation workflows for LLM applications
- Agent-oriented context layer for question answering and document automation
- Open-source deployment from the InfinityFlow GitHub repository
- Built for developers who need control over data, retrieval, and prompts
Cons
Pricing
Open source
USD0
- • Source code available on GitHub
- • Self-host or run in your own environment
- • Community support through the project repository