This is why I’m bullish on @postgresml - devs will always prefer to do things in data stores they already use in production

James yu

@jamesyu

Great article by PostgresML, running @huggingface models INSIDE @PostgreSQL nice tidbit on scalability: "Our example data is based on 5 million DVD reviews from Amazon ... that's more data than fits in a Pinecone Pod at the time of writing"

Paul Copplestone

@kiwicopple

Love the fact that @postgresml can run various algorithms to find the optimum one for model creation

RebataurAI

@rebataur

You can look at PostgresML. Its based on Postgres, not specifically a vector database but they've got a pleasantly full featured eco-system for the whole training process, fetching datasets, huggingface integration, training etc. of course they also have vector related functions

Dushyant (e/acc)

@DevDminGod

If you want to seamlessly integrate machine learning models into your #PostgreSQL database, use PostgresML.

Khuyen Tran

@@KhuyenTran16

💯 there's also PostgresML if you wanna get a little more full featured - supports embedding in-database as well as CUBE / pgvector

Martin McFly

@@martinmark

Tons of capability in that Postgres extension. It's an important part of the ML Stack at cloud.tembo.io as well.

Adam Hendel

@adamhendel

A game-changer indeed! By integrating ML and AI directly at the database level with @postgresml, we're not just streamlining processes but revolutionizing data handling and insights generation in one fell swoop.

Pranay Suyash

@pranaysuyash