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Vectoring in on Pinecone episode artwork

Jul 10, 2024 44 min

Vectoring in on Pinecone

from Practical AI Hosted by Daniel Whitenack and Chris Benson

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data. Sponsors: Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. Featuring: Roie Schwaber-Cohen – GitHub, LinkedIn, X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: Pinecone Pinecone | Blog Upcoming Events: Register for upcoming webinars here!

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Vectoring in on Pinecone

0:00 44:11

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:43 AI Engineer World's Fair
  3. 2:18 Origins of Pinecone
  4. 4:52 Vector storing methods
  5. 7:48 Advantages of vector search
  6. 11:25 Compressing representation
  7. 13:39 Sponsor: Plumb
  8. 15:16 What is a vector db?
  9. 18:00 Key functionality
  10. 22:31 Onboarding enterprises
  11. 27:11 Internal vs external RAG
  12. 28:22 Serverless experience
  13. 32:14 User experience
  14. 35:44 What is Pinecone enabling?
  15. 38:10 It shouldn't be complicated
  16. 40:03 A look into the future
  17. 42:52 Thanks for joining us!
  18. 43:23 Outro

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This episode was published on July 10, 2024.

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