Ragflow
FreeRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
About Ragflow
RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that integrates agent capabilities into a visual workflow platform. It features a built-in ingestion pipeline for multi-format data (documents, images, data sources), combining vector search, BM25, and custom scoring with re-ranking to deliver high answer accuracy. Users can create complex multi-agent workflows that seamlessly connect RAG with tools, web search, and Model Context Protocol (MCP) servers. Example workflows include stock analysis and financial research (aggregating qualitative insights with financial metrics), legal precedent analysis (extracting case attributes and retrieving relevant precedents), and maintenance guidance (sourcing content from internal manuals with external references). RAGFlow offers a free tier as well as paid plans with increased limits, making it suitable for both individual projects and enterprise deployments.
Key Features
Pros & Cons
- Open-source with Apache-2.0 license
- Free tier available with a starter plan for individuals
- Comprehensive visual workflow environment reduces need for coding
- High retrieval accuracy through hybrid search and re-ranking
- Built-in data ingestion pipeline streamlines preprocessing
- API key is not available on the free plan, limiting integration
- Free tier restricts dataset storage to 0.1 GB and team to 1 member
- Advanced features require subscription to paid plans