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weaviate

weaviate/weaviate

An open-source vector database for vector search and structured filtering

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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17k stars1.4k forksLast push Sep 18, 2026 Go Other

Decision brief

Weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.

Good fit when

  • When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
  • If you require a cloud-native database with fault tolerance and scalability, Weaviate is designed to meet these needs.

Avoid when

  • If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit.
  • If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
11 low (11 low)
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Weaviate. Display-only - separate from trust and ranking.

Company
Weaviate·GitHub org profile·Jul 11, 2026
Funding
$50,000,000 (2023-04)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model
Open core·GraphCanon curated seed·Jul 11, 2026

Install

go get github.com/weaviate/weaviate
pkg.go.dev

How it fits your stack(23)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

Integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 18, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 18, 2026

Languages
go, python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

Install the Python client (or use another [client library](#client-libraries-and-apis)):
Source link

Tags

README

Installation Weaviate offers multiple installation and deployment options: Docker Kubernetes Weaviate Cloud See the installation docs for more deployment options, such as AWS and GCP. Getting started You can easily start Weaviate and a local vector embedding model with Docker. Cr...

For agents

This page has a .md twin and JSON over the API.

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