Vetted Recommended

Pgvector

Teams already on Postgres that want vector search without adding a separate service.

“Teams already on Postgres that want vector search without adding a separate service.”

Teams already on Postgres that want vector search without adding a separate service.

Why teams pick it

  • Neon ships pgvector enabled by default. No extra configuration needed.
  • Supabase includes pgvector with dashboard support and vecs Python client.
  • LangChain PGVector vector store works but requires more SQL-aware setup than dedicated engines.
  • Drizzle supports pgvector column types and similarity search operators.

Where it gives ground

  • Performance degrades past a few million vectors, especially with high-dimensional embeddings on shared Postgres instances.
  • HNSW index creation can be extremely slow and resource-intensive on large datasets, blocking other operations.

What the commercial model looks like

Self-Hosted Extension

$0 /mo

  • indexes: unlimited
  • vectors: unlimited
  • deployment: any Postgres instance
  • support_sla: community

Via Neon Launch

$19 /mo

  • vectors: limited by storage
  • storage_gb: 10
  • support_sla: neon standard

Enterprise

$19 /mo

  • support: Priority
  • seats: Unlimited

Where this tool shows up

The practical snapshot

Docs quality
7.4
Quickstart
5 min
Starts at
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