Vearch project

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.

• https://raw.githubusercontent.com/vearch/vearch/master/LICENSE recorded 2026-09-30

  LICENSE file is the Apache-2.0 text: "Apache License" and "Version 2.0, January 2004" and "TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION".

• https://raw.githubusercontent.com/vearch/vearch/master/README.md recorded 2026-09-30

  README states "Vearch is a cloud-native distributed vector database for efficient similarity search of embedding vectors" and "Vearch is licensed under the" Apache License 2.0; searched the body for enterprise, paid, license key and commercial: none.

The vearch package on PyPI is a thin client for a running cluster with negligible downloads of its own, so banding on it would measure neither the product nor its reach. That leaves GitHub stars as the adoption signal instead.

• https://api.github.com/repos/vearch/vearch recorded 2026-08-18

  Repo metadata - stargazers_count = 2,321 - for vearch/vearch.

Vearch runs as a distributed cluster, splitting work across master, router and partition servers with raft-based replication and elastic scale-out, which makes it a complete system that scales across machines. Its retrieval is vector similarity plus scalar filtering, with no full-text mode and no model hosted in the serving path, so it sits one step below Vespa.

• https://raw.githubusercontent.com/vearch/vearch/master/README.md recorded 2026-10-08

  README lists "Hybrid search" as vector search plus scalar filtering, and "Replication and elastic scaling out", and describes a "Router" and "PartitionServer (PS)" role split with "raft-based replication"; searched the body for full-text, BM25 and lexical: none.