Postgres extension that adds a vector type plus exact and approximate nearest-neighbour search. Pairs naturally with Supabase, Neon, and any managed Postgres. The lowest-friction RAG backend if you already run Postgres.
Vector DB · pgvector community
pgvector
Vector similarity search inside Postgres. The pragmatic default.
OPEN SOURCEAPIVetted
Model support
Model-agnostic
Where it runs
- API
Tags
- #postgres
- #open-source
- #extension
- #rag
Related in Vector DB
View Pinecone details Vector DBFREEMIUMVettedPinecone
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Managed vector database. The industry-default serverless option.
Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, integrations across every framework. Most Blokz-adjacent AI teams reach for it first.
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View Chroma details Vector DBFREEMIUMChroma
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Embedded vector DB. Pip-install, prototype, scale later.
The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.
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View Qdrant details Vector DBFREEMIUMQdrant
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Open-source, Rust-based vector DB. Fast, predictable, self-hostable.
Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.
- open-source
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View Turbopuffer details Vector DBPAIDTurbopuffer
Turbopuffer
Object-storage-backed vector DB. Serverless economics at scale.
Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.
- serverless
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