[lettergram]

Not to knock Qdrsnt, but generally the whole “vector search database” rush is insane.

I’ve been working with vectors for over a decade; particularly with embeddings used in AI. We’re talking projects from 100k to 100B+ records, used for AI applications

Postgres, particularly with pgvector and derivatives, can handle to millions of records very rapidly no problem. It’s very cheap, scales great, and is accurate.

I’m sure some of these open source solutions are improvements. That said, weigh vendor lock in, cost, risk and in the end it usually makes very little sense.

[therealdrag0]

What’s you use for 100B records?

[lettergram]

Idk if I can talk about my exact project. But I worked alongside these folks:

https://www.capitalone.com/tech/machine-learning/learning-em...

Running an R&D group in the department.