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!

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Featuring:

Chang She – Twitter, GitHub, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

LanceDB
Episode #234 “Vector DBs beyond the hype”

Something missing or broken? PRs welcome!

Open source, on-disk vector search with LanceDB 41:53 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

Open source, on-disk vector search with LanceDB