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