Our verdict
We have not reviewed pgvector yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About pgvector
pgvector is an open-source PostgreSQL extension that adds vector data types and similarity search operators to Postgres. It enables approximate nearest neighbor search directly within your database using L2, cosine, and inner product distance metrics. Built in C for performance, it integrates with existing Postgres workflows without requiring a separate vector database.
Best for
Teams already using Postgres who want vector search without adding infrastructure
Use cases
- Semantic search over embeddings stored in Postgres
- Recommendation systems using vector similarity
- RAG pipelines that query embeddings alongside relational data
Notes
21,551 stars on GitHub. Last updated 2026-05-30.
Pros
- Runs inside Postgres, eliminating separate vector DB infrastructure
- Supports multiple distance metrics and indexing strategies (HNSW, IVFFlat)
- Active community with 21k+ stars and regular maintenance
Cons
- Performance scales differently than dedicated vector databases at very large scales
- Requires Postgres expertise to optimize indexes and queries
- Limited to Postgres ecosystem, not portable to other databases
Key facts
What we have checked
- GitHub stars
- 23,161
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How pgvector is growing
21,551 to 23,161
Alternatives
Alternatives to pgvector
| Record | Type | How we know | Checked |
|---|---|---|---|
| AquilaDBAlternative to this | Open source | Named in the listing | Not dated |
| AwadbAlternative to this | Open source | Named in the listing | Not dated |
| ChromaAlternative to this | Open source | Named in the listing | Not dated |
| LancedbAlternative to this | Open source | Named in the listing | Not dated |
| MilvusAlternative to this | Open source | Named in the listing | Not dated |
| PineconeAlternative to this | Open source | Named in the listing | Not dated |
| QdrantAlternative to this | Open source | Named in the listing | Not dated |
| VearchAlternative to this | Open source | Named in the listing | Not dated |
| VectorChordAlternative to this | Open source | Named in the listing | Not dated |
| VectorDBAlternative to this | Open source | Named in the listing | Not dated |
| WeaviateAlternative to this | Open source | Named in the listing | Not dated |
Compare
Compare pgvector side by side
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Chroma
Community
Search infrastructure for AI
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Qdrant
Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
AquilaDB
Community
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Awadb
Community
AI Native database for embedding vectors
Chroma
Community
Search infrastructure for AI
Lancedb
Community
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Pinecone
Community
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Qdrant
Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Vearch
Community
Distributed vector search for AI-native applications
VectorChord
Community
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
VectorDB
Community
A Python vector database you just need - no more, no less.
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
LangChain
Various
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
llama.cpp
Various
LLM inference in C/C++
Ollama
Ollama
Run supported language models on your computer, with additional cloud options.
Clip-as-a-service
Community
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
currentslab/awesome-vector-search
Community
Collections of vector search related libraries, service and research papers
ParadeDB
Community
Simple, Elastic-quality search for Postgres
ragfresh
Community
Detect stale, drifted, and ghost documents in RAG vector indexes
RagTune
Community
EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
Rivestack
Community
Managed pgvector on dedicated PostgreSQL with NVMe storage. 2,000 QPS at sub-4ms p50, from $35/month, migration help from Supabase, Neon, Pinecone, and self-hosted.
Semantic Cache Router
Community
Distributed semantic cache and stateful routing system that cuts LLM API costs by returning cached responses for semantically similar queries. Uses ANN vector search (cosine ≥ 0.8)
semantic-coverage
Community
Automated detection of knowledge gaps and blind spots in RAG vector stores.
Statewave
Community
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python +
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.