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Vector databases for machine learning
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Daniel Whitenack and Chris Benson

· 43 Minutes

PodcastPractical AI

Vector databases for machine learning

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Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.

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Featuring:

  • Edo Liberty – Website, GitHub, LinkedIn, X
  • Chris Benson – Website, GitHub, LinkedIn, X

Show Notes:

  • Pinecone | Website
  • Pinecone | Twitter
  • Pinecone | LinkedIn
  • TheNextPlatform - It’s Time to Start Paying Attention to Vector Databases
  • TheNewStack - Pinecone: A Vector Database for Machine Learning Applications

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Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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