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Infinity

InfiniFlow
open source / Overall score: 2.8

Infinity is a database built for LLM applications that indexes dense vectors, sparse vectors, tensors and full text in one engine and fuses them into a single hybrid query. Results can be reranked with reciprocal rank fusion, weighted sum or ColBERT-style tensor rerankers, and structured data is queried in the same system. It is self-hosted.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public
core features withheld
no

Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

Adoption

2 low confidence
2.0

Infinity's adoption reading uses GitHub stars, since no server deployment figure is published. The `infinity-sdk` package on PyPI is the Python client for a running server rather than the engine itself, so its downloads would measure client installs rather than product use, and a star does not confirm production use either.

Capability

4 medium confidence
4.0

Infinity fuses dense, sparse, tensor and full-text indexes into a single hybrid query, with tensor reranking and structured-data support in one self-hosted engine. Vespa covers more of the same persist-index-retrieve path at a larger, distributed scale, which keeps Infinity one step behind it.

Verified 2026-09-27