How to Choose a Vector Database

With so many vector database options now, how do you choose? Not all vector databases are created equal, so choosing the right one to ensure the best performance for your vector search use cases is imperative. In this interactive webinar featuring Dmitry Kan, host of Vector Podcast and founder of Muves.io, you'll learn how to sift through the multitude of vector DBs and get your burning questions answered.
Learn more about Pinecone: www.pinecone.io

[@VectorPodcast]

Thanks for having me, Greg and Sophie! Enjoyed the questions from the audience! // Dmitry

[@raghuram4609]

Excellent! Looking forward for many more videos like this.

[@VectorPodcast]

Thanks Raghu! Stay tuned :)

[@TheAIEpiphany]

Cool overview thanks guys!

[@gushinets]

Very impressive! Thanks for this presentation

[@gabesusman4592]

Great video, just out of curiosity: why was langchain excluded from the neural frameworks? does it not qualify as one?

[@AnonymousIguana]

It didn't exist back then 😅

[@gabesusman4592]

@AnonymousIguana ahh, thanks for pointing that out for me

[@jimmyf.x.9526]

I was hoping you would focus more on the algorithms of indexing to help me choose.

[@hughesadam87]

Ziliz and qdrant are both on cloud now

[@rokos1825]

The alerting...if you suppress alerts based on similarity, you create a vulnerability. I know you're just spitballing, but fyi. 😃