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MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI

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Manage episode 466438489 series 3586723
Content provided by Sequoia Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sequoia Capital or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

MongoDB product leader Sahir Azam explains how vector databases have evolved from semantic search to become the essential memory and state layer for AI applications. He describes his view of how AI is transforming software development generally, and how combining vectors, graphs and traditional data structures enables high-quality retrieval needed for mission-critical enterprise AI use cases. Drawing from MongoDB's successful cloud transformation, Azam shares his vision for democratizing AI development by making sophisticated capabilities accessible to mainstream developers through integrated tools and abstractions.

Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

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50 episodes

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Manage episode 466438489 series 3586723
Content provided by Sequoia Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sequoia Capital or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

MongoDB product leader Sahir Azam explains how vector databases have evolved from semantic search to become the essential memory and state layer for AI applications. He describes his view of how AI is transforming software development generally, and how combining vectors, graphs and traditional data structures enables high-quality retrieval needed for mission-critical enterprise AI use cases. Drawing from MongoDB's successful cloud transformation, Azam shares his vision for democratizing AI development by making sophisticated capabilities accessible to mainstream developers through integrated tools and abstractions.

Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

Mentioned in this episode:

  continue reading

50 episodes

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