Episode

Introducing Vector Search in Azure Cognitive Search

with Scott Hanselman, Liam Cavanagh

Azure Friday

Liam Cavanagh joins Scott Hanselman to explain vector search in Azure Cognitive Search. Vector search is a method of searching for information within various data types, including image, audio, text, video, and more. It determines search results based on the similarity of numerical representations of data, called vector embeddings. Unlike keyword matching, vector search compares the vector representation of the query and content to find relevant results for users.

Chapters

  • 00:00 - Introduction
  • 01:55 - What vectors are
  • 06:37 - How vector search works
  • 12:06 - Vector search discussion
  • 17:26 - Hybrid search
  • 19:23 - Multi-modal: text and images
  • 20:24 - Wrap-up

Connect

Azure