Question 1

Which is better, pgvector (in Postgres) or Pinecone?

Accepted Answer

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 Pinecone if you care most about high volume.

Question 2

pgvector (in Postgres) or Pinecone for fewer vendors?

Accepted Answer

pgvector (in Postgres). Vectors stay in your existing Postgres; no new vendor or sync job.

Question 3

pgvector (in Postgres) or Pinecone for keep costs as low as possible?

Accepted Answer

pgvector (in Postgres). No separate bill; it uses the database you already pay for.

Question 4

pgvector (in Postgres) or Pinecone for prefers open source or self-hosting?

Accepted Answer

pgvector (in Postgres). Open-source extension that runs on any Postgres.

Question 5

pgvector (in Postgres) or Pinecone for high volume?

Accepted Answer

Pinecone. Built for large vector counts without tuning indexes yourself.

Fact	pgvector (in Postgres)	Pinecone
What it is	An open-source Postgres extension that stores and searches embeddings next to your other data.	A managed vector database.
Free plan	Free: 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.	Starter (free): up to 2 GB storage, 2M write units and 1M read units per month, 5 indexes, us-east-1 only.
Paid from	Not stated	Builder: $20/month flat. Standard: $50/month minimum usage; storage $0.33/GB-month.
At 1,000 users	$0/month	$0/month
Open source	Yes	No
Self-hostable	Yes	No
Best for	Up to a few million chunks; Filtering vector search by tenant with SQL; Fewest moving parts	Large vector counts without tuning Postgres; Teams that want a managed vector service
Watch out	Its 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).	The free Starter plan runs only in us-east-1. Standard has a $50/month minimum.

Need	pgvector (in Postgres)	Pinecone
fewer vendors	+3 Vectors stay in your existing Postgres; no new vendor or sync job.	−1 A separate store to keep in sync with your database.
keep costs as low as possible	+3 No separate bill; it uses the database you already pay for.	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.
high volume	−1 Past tens of millions of vectors, a dedicated vector store is easier to run.	+2 Built for large vector counts without tuning indexes yourself.
EU data residency or GDPR	0 No particular strength here.	−1 The free plan is us-east-1 only.

pgvector (in Postgres) vs Pinecone

Side by side

Where they differ

Other vector search options