Vectoring in on Pinecone

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Episode
279 of 319
Duration
44min
Language
English
Format
Category
Non-fiction

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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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:

PineconePinecone | Blog Something missing or broken? PRs welcome!


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