GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
118views this month
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.devHow it fits your stack(23)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
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Similar tools
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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.
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
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