infiniflow / ragflow
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
Why this job: says: rag, retrieval augmented; topics: rag, retrieval-augmented-generation
What it does
- Deep document understanding-based knowledge extraction from unstructured data with complicated
- Finds "needle in a data haystack" of literally unlimited tokens.
- Intelligent and explainable.
- Plenty of template options to choose from.
- Compile content at the document and dataset levels into structured knowledge artifacts.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 93,808
- +442 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- 3 systems
- Mac, Windows, Linux
- Latest version
- v1.0.0
- Released 3 days ago
- Built with
- Go
- 72% of the code
Is it looked after?
- Contributors
- 26
- Last 90 days
- Issues
- 89% closed
- 921 still open
- Pull requests
- 11,032 merged
- 424 waiting
- Releases
- 60
- 26 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: download files, languages, topics and project record
Download files, v1.0.0
- Mac2 files, 37 downloads
- Windows2 files, 118 downloads
- Linux2 files, 42 downloads
Languages
- Go 72%
- TypeScript 21%
- C++ 4%
- Python 3%
Topics
- ai
- ai-agents
- rag
- retrieval-augmented-generation
- agentic-ai
- agentic-retrieval
- agentic-search
- context-management
- knowledge-compilation
- agent-harness
- context-engineering
- harness-engineering
Project record
- JobRAG and search
- StatusFeatured
- Commits10,899
- Forks11,268
- Watching360
- Stars in 28 days+1,873
- CreatedDec 12, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026