Exploration of how Pinecone Serverless simplifies vector searches with separate compute and storage components, leading to cost reductions, scalable storage, and enhanced performance for developers. It delves into the user experience improvements, increased storage capacity, assistance functionalities, and AI simplification for small organizations through a generous free tier and easy onboarding.
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.
Leave us a comment
Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!
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:
Show Notes:
Something missing or broken? PRs welcome!