How to Choose a Vector Database

[@tonynolan9428]

I'm only half way through and have learnt so much. Thankyou. Now returning to the next half

[@AnonymousIguana]

Very helpful, thanks for the presentation :)

[@dvcorg8370]

Glad it was helpful!

[@betonniere8202]

Il est dur de trouver des ressources qui apportent vraiment des informations pertinentes sur youtube, dans le domaine des systèmes LLM. Merci, c'est beaucoup de valeur que vous partagez

[@riftsassassin8954]

South Africa. Played with the one built into Gemini python SDK, but want to learn more to use it in open source projects.

[@tonynolan9428]

Amazing thankyou so much. I've been having a nightmare getting chroma into my stack (inexperienced) but now that i can use my postgre as vector I'm away

[@crazyidiot101]

I’ve read that weaviate and pinecone are the only commercially viable databases. From a legal and compliance standpoint, which database is more ready to be deployed for use cases outside of tech, such as operational efficiency apps for other industries?

[@izainonline]

How to choose which vector database we will use. Chroma,Qdrant

[@thewaterborne8]

Curious why AWS OpenSearch KNN is not on the list :O

[@urimtefiki226]

which vectors those of my matrix since 2019?

[@dvcorg8370]

Hi @urimtefiki226! Can you provide more context on your question? Adding a reference here that came across our radar recently and will likely be in our February newsletter. Vector datbase comparison: vdbs.superlinked.com/