ragflow
Open-source Retrieval-Augmented Generation engine that combines deep document understanding with agent capabilities.
ragflow overview
RAGFlow is an open-source RAG engine that goes beyond simple vector search by combining deep document understanding, layout analysis, and agent-based orchestration. It processes complex documents (PDFs, images, tables) with layout-aware parsing, then uses agent capabilities to route, filter, and augment retrieval results — creating a production-ready context layer for LLM applications.
Rag
ragflow surfaces rag as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.Workflow
ragflow surfaces workflow as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.Memory
ragflow surfaces memory as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.When to use ragflow
Personal memory
Use it as a candidate for personal memory when the project facts, license, and official links match your deployment requirements.
How it compares
Compare it with nearby memory systems by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
Questions
What types of documents can RAGFlow process?
RAGFlow processes PDFs, images, Office documents, and other complex formats with layout-aware parsing that preserves tables, headers, and multi-column structure.
Does RAGFlow include agent capabilities?
Yes, RAGFlow combines RAG with agent orchestration for intelligent routing, filtering, and result augmentation.
Is RAGFlow open source?
Yes, it is open source under the Apache-2.0 license with 81K+ GitHub stars.
Can RAGFlow be self-hosted?
Yes, RAGFlow is designed for self-hosted deployment with Docker support.