Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
Sports
History
News
About Us
Contact Us
Copyright
© 2024 PodJoint
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts126/v4/ca/ae/47/caae47e5-6b4f-4ccc-085a-6104dab5331e/mza_16644954937649900406.jpg/600x600bb.jpg
Weaviate Podcast
Weaviate
131 episodes
6 days ago
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
Show more...
Technology
RSS
All content for Weaviate Podcast is the property of Weaviate and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
Show more...
Technology
https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/34794122/34794122-1704376570442-9264e631e6abf.jpg
Box AI with Ben Kus and Bob van Luijt
Weaviate Podcast
55 minutes 32 seconds
6 months ago
Box AI with Ben Kus and Bob van Luijt

Ben walks us through Box's three-layer infrastructure puzzle: First, the mind-boggling base infrastructure (think millions of interactions per second and trillions of files). Second, their unique multi-tenant security challenge - unlike most SaaS platforms, Box users share content across company boundaries, making traditional tenant isolation impossible. And third, ensuring AI respects all these complex permissions while still delivering value. The podcast then dives further into how vector embeddings can balloon file sizes - a few hundred bytes of text can require 4-6KB of vector data storage! We also dig into why RAG remains essential despite growing context windows, and how Box is developing AI agents that transform painful enterprise processes like RFP responses.

Weaviate Podcast
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.