Context management
RAGFlow
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
Open source
★ 93,949 on GitHub · +28 today · last commit Nov 10, 2026
What it is
Our note
Open-source RAG engine, deep document understanding; agent + graphrag modules; Apache-2.0; ~30k stars
At a glance
- Business model
- Open source
- License
- Apache-2.0
GitHub activity
This product has a public repository, so we read it nightly from the GitHub API. Stars measure developer attention, not quality or market share.
“RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.” (repository description)
- Stars
- 93,949
- Change since last reading
- +28
- Forks
- 11,289
- Open issues
- 1,247
- Last commit
- Nov 10, 2026 (0 days ago)
- License (GitHub)
- Apache-2.0
Links and sources
- Official siteragflow.io
- GitHub repositorygithub.com/infiniflow/ragflow
Added nov 8, 2026. Vendor facts come from the vendor’s own pages; benchmark claims are self-reported unless we say otherwise.