Vectoring in on Pinecone
Pinecone releases discussion via the Practical AI podcast on the role of vector databases in machine learning pipelines, covering storage, retrieval, and management of vector data.
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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