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Introducing Vector Search in Azure Cognitive Search
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محتوای ارائه شده توسط Scott Hanselman. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Scott Hanselman یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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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