Facts read November 7, 2026

pgvector (in Postgres) vs turbopuffer

pgvector (in Postgres) is Cuely's default vector search pick when your description doesn't favor either one: no extra vendor: vectors live in the Postgres you already have, so tenant filters are a plain WHERE clause. Pick turbopuffer if you care most about high volume.

Side by side

Factpgvector (in Postgres)turbopuffer
What it isAn open-source Postgres extension that stores and searches embeddings next to your other data.Vector and full-text search on object storage, priced by usage.
Free planFree: on Neon it is "available on every Neon plan with no add-on or paid tier required"; you pay only for database storage and compute.None
Paid fromNot statedLaunch: $16/month minimum usage; storage up to $0.33 per GB.
At 1,000 users$0/month$16/month
Open sourceYesNo
Self-hostableYesNo
Best forUp to a few million chunks; Filtering vector search by tenant with SQL; Fewest moving partsVery large or many-tenant indexes; Low storage cost at scale
Watch outIts HNSW index supports vectors up to 2,000 dimensions (halfvec up to 4,000); pick an embedding size that fits. Vectors count toward your database storage (Neon Free: 1 GB per project).No free plan: the cheapest plan has a $16/month minimum.

Where they differ

The published scores, from −3 to +3, that decide which one Cuely picks for each need.

Needpgvector (in Postgres)turbopuffer
keep costs as low as possible+3 No separate bill; it uses the database you already pay for.−2 No free plan; $16/month minimum.
high volume−1 Past tens of millions of vectors, a dedicated vector store is easier to run.+3 Object-storage based, so very large indexes stay cheap.
fewer vendors+3 Vectors stay in your existing Postgres; no new vendor or sync job.0 No particular strength here.
prefers open source or self-hosting+3 Open-source extension that runs on any Postgres.0 No particular strength here.
a database per customer0 No particular strength here.+1 Many small namespaces (one per customer) are a common pattern.

Sources: pgvector (in Postgres) pricing (read November 7, 2026), turbopuffer pricing (read November 7, 2026). No vendor pays for placement.

Other vector search options