Microsoft Introduces the Public Preview of Vector Search Feature in … – InfoQ.com

At its annual Inspire conference, Microsoft recently announced the public preview of Vector search in Azure Cognitive Search, a capability for building applications powered by large language models. It is a new capability for indexing, storing, and retrieving vector embeddings from a search index.

Microsoft’s Vector Search feature through Azure Cognitive Search uses machine learning to capture the meaning and context of unstructured data, including images and text, to make search faster.

Liam Cavanagh, a principal group product manager of Azure Cognitive Search, explains in a Tech Community blog post:

Vector search is a method of searching for information within various data types, including images, 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. Azure…

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