# Vectoring in on Pinecone

An episode of [Practical AI](https://invisiblenetwork.ai/podcast/1406537385), 10 Jul 2024, 44 min.

Audio: https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/8c9648cd/8f08d251.mp3

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!

## Chapters

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

Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them.