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Weaviate

Open source vector database that stores objects and vectors and combines vector search with structured filtering.

Weaviate is an open source vector database that stores data objects together with their vector embeddings, and combines vector search with filters on structured data. It is written in Go and can be started from a Docker image or from a binary download. The sample Docker Compose file mounts a persistent volume at /var/lib/weaviate, where the server keeps its data.

The company behind it, Weaviate B.V., is established in Amsterdam, the Netherlands.

Worth knowing

The project is open core. Code in the wl directory is available only under a commercial license, and its enterprise features run with a license key. Weaviate Cloud is a managed service that uses the same open source project, offered beside the self-hosted server.

Identity

Status
Active
Maintainer
Weaviate B.V.5
Maintained by
Company5
First release
20194
Headquarters
Netherlands5

Rendering and deploy

Install with
docker image28

Releases

Current major version
14
Last release
2026-10-229

Adoption

GitHub stars
16,92310
Contributors
16111

Why these figures do not compare

Sources

  1. 2026-10-28: links, Categories
    weaviate.io/
  2. 2026-10-28: links, Written in, Runtime, License model, Install with
    github.com/weaviate/weaviate
  3. 2026-10-28: links
    docs.weaviate.io/weaviate
  4. 2026-10-28: First release, Current major version
    api.github.com/repos/weaviate/weaviate/releases
  5. 2026-10-28: Maintainer, Maintained by, Headquarters
    weaviate.io/privacy
  6. 2026-10-28: License
    github.com/weaviate/weaviate/blob/main/LICENSE
  7. 2026-10-28: links
    weaviate.io/pricing
  8. 2026-10-28: Install with
    docs.weaviate.io/deploy/installation-guides/docker-installation
  9. 2026-10-28: Last release
    api.github.com/repos/weaviate/weaviate/releases/latest
  10. 2026-10-28: GitHub stars
    api.github.com/repos/weaviate/weaviate
  11. 2026-10-28: Contributors
    api.github.com/repos/weaviate/weaviate/contributors?per_page=1

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