Comparison
pgvector vs weaviate
Verdict
Pick pgvector if pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance; pick weaviate if 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.
Markdown twin · pgvector alternatives · weaviate alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | pgvector | weaviate |
|---|---|---|
| Maintenance | Active (7d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- pgvector
- Open-source vector similarity search for Postgres
- weaviate
- An open-source vector database for vector search and structured filtering
Stars
- pgvector
- 23k
- weaviate
- 17k
Forks
- pgvector
- 1.3k
- weaviate
- 1.4k
Open issues
- pgvector
- 16
- weaviate
- 735
Language
- pgvector
- C
- weaviate
- Go
Adopt for
- pgvector
- pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.
- weaviate
- 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.
Persona
- pgvector
- -
- weaviate
- -
Runtime
- pgvector
- -
- weaviate
- -
License
- pgvector
- Other
- weaviate
- Other
Last pushed
- pgvector
- Sep 10, 2026
- weaviate
- Sep 18, 2026
Categories
- pgvector
- Vector Databases
- weaviate
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- pgvector
- Active (82%)
- weaviate
- Very active (96%)
Days since push
- pgvector
- 7d
- weaviate
- 0d
Open issues (now)
- pgvector
- 16
- weaviate
- 735
Stars delta
- pgvector
- +674 (30d)
- weaviate
- +138 (30d)
Open issues delta
- pgvector
- +2 (30d)
- weaviate
- +115 (30d)
OSV dependency advisories
- pgvector
- No lockfile (source not queried)
- weaviate
- Published findings
Full report
- pgvector
- Trust report
- weaviate
- Trust report
Typed relationship
Choose pgvector if…
- pgvector is primarily C; weaviate is Go.
- Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations.
- Tags unique to pgvector: c-language, docker-support, l2-distance, open-source.
- When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
When NOT to use pgvector
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches.
- When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions.
- If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system.
- When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
Choose weaviate if…
- weaviate is primarily Go; pgvector is C.
- Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations.
- Tags unique to weaviate: grpc, hnsw, hybrid-search, image-search.
- Also covers Data & Retrieval.
- When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
When NOT to use weaviate
- 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.
- For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pgvector/pgvector) · observed Sep 20, 2026
- GitHub forks (pgvector/pgvector) · observed Sep 20, 2026
- Last push (pgvector/pgvector) · observed Sep 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (weaviate/weaviate) · observed Sep 20, 2026
- GitHub forks (weaviate/weaviate) · observed Sep 20, 2026
- Last push (weaviate/weaviate) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: pgvector 23k · weaviate 17k (synced Sep 20, 2026).
Common questions
- What is the difference between pgvector and weaviate?
- pgvector: Open-source vector similarity search for Postgres. weaviate: An open-source vector database for vector search and structured filtering. See the comparison table for live GitHub stats and shared categories.
- When should I choose pgvector over weaviate?
- Choose pgvector over weaviate when pgvector is primarily C; weaviate is Go; Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations; Tags unique to pgvector: c-language, docker-support, l2-distance, open-source; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
- When should I choose weaviate over pgvector?
- Choose weaviate over pgvector when weaviate is primarily Go; pgvector is C; Both pgvector and Weaviate are open-source tools designed for performing semantic search using vector databases, offering scalable solutions with distinct features and implementations; Tags unique to weaviate: grpc, hnsw, hybrid-search, image-search; Also covers Data & Retrieval; When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
- When should I avoid pgvector?
- If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
- When should I avoid weaviate?
- 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. For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
- Is pgvector or weaviate more popular on GitHub?
- pgvector has more GitHub stars (23,049 vs 16,819). Stars measure visibility, not whether either tool fits your constraints.
- Are pgvector and weaviate open source?
- Yes - both are open-source projects on GitHub (pgvector: Other, weaviate: Other).
- Where can I find alternatives to pgvector or weaviate?
- GraphCanon lists graph-backed alternatives at pgvector alternatives and weaviate alternatives (pgvector markdown twin, weaviate markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, pgvector or weaviate?
- pgvector: Active. weaviate: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for pgvector and weaviate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pgvector trust report; weaviate trust report.