Infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Infinity is an open-source vector database project on GitHub under the Apache-2.0 license (permissive), with 4.8k stars. It is built with LLVM project and CPython. Its last push was today.
- Stars
- 4.8k
- License
- Apache-2.0
- Activity
- Active
- Latest release
- v0.7.4
Judgement
- What it is
- Building block
- What it does
- A database for LLM applications offering hybrid search across dense vectors, sparse vectors, multi-vector tensors and full text, from the makers of RAGFlow.
- Adopt it when
- You need hybrid retrieval with tensor reranking for RAG and want it in a single engine.
- Watch out
- Pre-1.0 with a small user base outside RAGFlow.
- Ready for
- Experimental
- Runs as
- Self-hosted server and library
- Built with
- C++ and Python
- How established
- Established: started 4 years ago, latest release v0.7.4.
- What the license allows
- You can build it into a product you sell, as long as you keep its copyright notice.
Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.
Built from
Follow it down: Infinity → LLVM project → runs on a microchip
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Commercial
Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.