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ethagnawlyesterday at 3:18 PM1 replyview on HN

> Timescale lately released the pgvector extension, that turns your PostgreSQL into a vector database.

I don't think this is accurate and smells like an LLM hallucination to me.

From the Timescale/Tiger Data _pgvectorscale_ project's README:

> pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.

I think this is where the confusion originates. I believe pgvector is primarily Andrew Kane (@ankane) and a cadre of OSS contributors.

As an aside, I've used Timescale/Tiger Data products and was very happy with them and their support. Their team was very engaged and responsive to all of our questions. They also fixed a pretty gnarly indexing bug I uncovered in pgvectorscale in an impressively short amount of time.


Replies

akulkarniyesterday at 10:08 PM

Thanks for the kind words.

And yes, Andrew Kane (et al) are the people to thank for pgvector.

We (Tiger Data) developed pgvectorscale and pg_textsearch (and timescaledb, and some others)