Vearch

license

Apache-2.0(OSI)

source

public

core-gated

ungated

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://github.com/vearch/vearch/blob/master/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

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

  Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch master - for vearch/vearch.

• https://github.com/vearch/vearch/blob/master/README.md recorded 2026-08-18

  README describes a cloud-native distributed vector database for similarity search over embeddings, with hybrid vector search and scalar filtering, with no paid tier, enterprise edition or license-key-gated build beside it.

2,321 GitHub stars, which lands in the 1K-10K stars band of the stars scale, level 2. The `vearch` package on PyPI draws about 140 downloads a month and is a client for a running cluster, so banding on it would measure neither the product nor its reach. The stars scale applies; at 2,321 stars the band is 2.

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

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

Banded on the category feature matrix as single-purpose store or index. Placed two bands below the vespa anchor, on a matrix that bands on how much of the persist-index-retrieve path a product provides itself, at what scale and over how many retrieval modes.

• https://github.com/vearch/vearch/blob/master/README.md recorded 2026-08-18

  README still documents a cloud-native distributed vector database for similarity search over embeddings, with hybrid vector search and scalar filtering.