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Open source, on-disk vector search with LanceDB
Manage episode 390433218 series 2385063
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!
Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
- Chang She – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
Rozdziały
1. Welcome to Practical AI (00:00:07)
2. Chang She (00:00:43)
3. Origins of LanceDB (00:02:06)
4. Top workflow vs infrastructure (00:07:57)
5. The demand for Gen AI (00:10:04)
6. What does embedded mean? (00:13:07)
7. Integrating steps A-Z (00:15:27)
8. Structure of LanceDB (00:19:36)
9. Generalities of data structure (00:22:09)
10. Rust integration (00:23:43)
11. Future language support (00:27:07)
12. Real life use cases (00:28:34)
13. Autonomous use cases (00:35:11)
14. Exciting developments (00:37:42)
15. Goodbye (00:40:15)
16. Outro (00:41:05)
293 odcinków
Manage episode 390433218 series 2385063
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!
Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
- Chang She – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
Rozdziały
1. Welcome to Practical AI (00:00:07)
2. Chang She (00:00:43)
3. Origins of LanceDB (00:02:06)
4. Top workflow vs infrastructure (00:07:57)
5. The demand for Gen AI (00:10:04)
6. What does embedded mean? (00:13:07)
7. Integrating steps A-Z (00:15:27)
8. Structure of LanceDB (00:19:36)
9. Generalities of data structure (00:22:09)
10. Rust integration (00:23:43)
11. Future language support (00:27:07)
12. Real life use cases (00:28:34)
13. Autonomous use cases (00:35:11)
14. Exciting developments (00:37:42)
15. Goodbye (00:40:15)
16. Outro (00:41:05)
293 odcinków
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