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
*Resources:*
■ Announcing Vector Search in Azure Cognitive Search Public Preview – https://aka.ms/azfr/755/01
■ Azure Cognitive Search – https://aka.ms/azfr/755/02
■ Vector search within Azure Cognitive Search – https://aka.ms/azfr/755/03
■ Azure Cognitive Search AMA: Vector search, Azure OpenAI Service, generative apps, plugins & more – https://aka.ms/azfr/755/04
■ Create a Pay-as-You-Go account (Azure) – https://aka.ms/azfr/755/payg
■ Create a free account (Azure) – https://aka.ms/azfr/755/free
*Connect with us:*
■ Scott Hanselman | @SHanselman – https://twitter.com/SHanselman
■ Liam Cavanagh | @liamca – https://twitter.com/liamca
■ Azure Friday | @AzureFriday – https://twitter.com/AzureFriday
■ Azure | @Azure – https://twitter.com/Azure
#Microsoft #Azure #AzureFriday
