Episode

Vectoring in on Pinecone

Podcast
Practical AI
Published
Jul 10, 2024
Duration seconds
2651
Processing state
failed
Canonical source
https://share.transistor.fm/s/8c9648cd
Audio
https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/8c9648cd/8f08d251.mp3
JSON
/v1/public/podcasts/practical-ai/episodes/vectoring-in-on-pinecone
Markdown
/podcast/practical-ai/vectoring-in-on-pinecone.md

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Summary

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 !