#68 Vector databases for Production level GenAI with DataStax

from XTraw AI: Machine Learning and AI Applications · host Venkata"Raghu Banda"

In this episode 68, I had an engaging conversation with Patrick McFadin from DataStax on the aspects of vector databases and their impact on production level GenAI. We talked about how these vector databases are revolutionizing the way we store, access and analyze data making GenAI more efficient and effective than ever before. Stay tuned for more interesting conversations from the (XTrawAI.com) podcast series on machine learning and AI applications.

Episode metadata supplied by the publisher feed · Published Dec 1, 2023

Embed this episode

Attribution link and audio player

Ready to play

#68 Vector databases for Production level GenAI with DataStax

0:00 47:57

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of XTraw AI: Machine Learning and AI Applications?

This episode is 47 minutes long.

When was this XTraw AI: Machine Learning and AI Applications episode published?

This episode was published on December 1, 2023.

Can I download this XTraw AI: Machine Learning and AI Applications episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!