Open source, on-disk vector search with LanceDB (Practical AI #250)
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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Chapters
- 0:07 Welcome to Practical AI
- 0:43 Chang She
- 2:06 Origins of LanceDB
- 7:57 Top workflow vs infrastructure
- 10:04 The demand for Gen AI
- 13:07 What does embedded mean?
- 15:27 Integrating steps A-Z
- 19:36 Structure of LanceDB
- 22:09 Generalities of data structure
- 23:43 Rust integration
- 27:07 Future language support
- 28:34 Real life use cases
- 35:11 Autonomous use cases
- 37:42 Exciting developments
- 40:15 Goodbye
- 41:05 Outro
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How long is this episode of Changelog Master Feed?
This episode is 41 minutes long.
When was this Changelog Master Feed episode published?
This episode was published on December 19, 2023.
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