Open source, on-disk vector search with LanceDB - Listen -

Practical AI: Machine Learning, Data Science

Open source, on-disk vector search with LanceDB

Listen now

Description

Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in episode #234. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!

More Episodes

See all »

Apple Intelligence & Advanced RAG

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be...

Published 06/25/24

Practical AI: Machine Learning, Data Science

Published 06/25/24

The perplexities of information retrieval

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine...

Published 06/19/24