Changelog Master Feed   /     Vectoring in on Pinecone (Practical AI #277)

Description

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.

Subtitle
with Roie Schwaber-Cohen
Duration
44:13
Publishing date
2024-07-10 17:30
Link
https://changelog.com/practicalai/277
Contributors
  Changelog Media
author  
Enclosures
https://op3.dev/e/https://cdn.changelog.com/uploads/practicalai/277/practical-ai-277.mp3
audio/mpeg

Shownotes

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.

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Featuring:

Show Notes:

Something missing or broken? PRs welcome!

Deeplinks to Chapters

0 Welcome to Practical AI
255
1080 Key functionality
255
1352 Onboarding enterprises
255
138 Origins of Pinecone
255
1631 Internal vs external RAG
255
1702 Serverless experience
255
1935 User experience
255
2144 What is Pinecone enabling?
255
2291 It shouldn't be complicated
255
2403 A look into the future
255
2572 Thanks for joining us!
255
2604 Outro
255
293 Vector storing methods
255
43 AI Engineer World's Fair
255
469 Advantages of vector search
255
685 Compressing representation
255
819 Sponsor: Plumb
255
916 What is a vector db?
255