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Introducing Vector Search in Azure Cognitive Search
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Scott Hanselman에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Scott Hanselman 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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 Recommended resources Announcing Vector Search in Azure Cognitive Search Public Preview Azure Cognitive Search Vector search within Azure Cognitive Search Azure Cognitive Search AMA: Vector search, Azure OpenAI Service, generative apps, plugins & more Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Liam Cavanagh | Twitter: @liamca Azure Friday | Twitter: @AzureFriday Azure | Twitter: @Azure
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