ragflow
RAGFlow 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
ragflow overview
RAGFlow 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
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 should I check before using ragflow?
Store a small changing knowledge set, ask repeated-session questions, then inspect what was retrieved and why.
Is ragflow open source?
ragflow is listed on OpenAgent.bot with Apache-2.0 based on the current resource metadata. Re-check the official repository, docs, and license before production use.