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SE Radio 691: Kacper Łukawski on Qdrant Vector Database

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Manage episode 514977188 series 215
Content provided by SE Radio Team and [email protected] (SE-Radio Team). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE Radio Team and [email protected] (SE-Radio Team) 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://podcastplayer.com/legal.

Kacper Łukawski, a Senior Developer Advocate at Qdrant, speaks with host Gregory M. Kapfhammer about the Qdrant vector database and similarity search engine. After introducing vector databases and the foundational concepts undergirding similarity search, they dive deep into the Rust-based implementation of Qdrant. Along with comparing and contrasting different vector databases, they also explore the best practices for the performance evaluation of systems like Qdrant. Kacper and Gregory also discuss topics such as the steps for using Python to build an AI-powered application that uses Qdrant.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1059 episodes

Artwork
iconShare
 
Manage episode 514977188 series 215
Content provided by SE Radio Team and [email protected] (SE-Radio Team). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE Radio Team and [email protected] (SE-Radio Team) 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://podcastplayer.com/legal.

Kacper Łukawski, a Senior Developer Advocate at Qdrant, speaks with host Gregory M. Kapfhammer about the Qdrant vector database and similarity search engine. After introducing vector databases and the foundational concepts undergirding similarity search, they dive deep into the Rust-based implementation of Qdrant. Along with comparing and contrasting different vector databases, they also explore the best practices for the performance evaluation of systems like Qdrant. Kacper and Gregory also discuss topics such as the steps for using Python to build an AI-powered application that uses Qdrant.

Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

1059 episodes

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