Maintain the performance, cost, and reliability of your Azure AI Search solutions. Certification Microsoft Certified: Azure AI Engineer Associate - Certifications Design and implement an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI. English...
Read the latest news and insights about Azure AI Search, brought to you by the experts at Microsoft Azure Blog.
Learn how to set up an Azure AI Search resource in the Azure portal. Choose resource groups, regions, and a pricing tier.
Announcements of new and enhanced features, including a service rename of Azure Cognitive Search to Azure AI Search.
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For more information, see Chunk large documents for vector search solutions. Optimize cost and performance: Vector search can be resource-intensive and is subject to maximum limits, so consider only vectorizing the fields that contain semantic meaning. Reduce vector size so that you can store more...
Microsoft.Azure.Search.SerializationReference Microsoft.Azure.Search.Serialization.internalReference Libraries for resource management Use the Azure AI Search management library to provision a service, manage api-keys, and adjust resources. Service management has a dependency on Azure Resource Manager for sub...
1. The Technology Behind Azure AI Search The query stack in Azure AI Search follows a pattern that’s often used in sophisticated search systems, where there are two main layers of execution: retrieval and ranking. Retrieval –Often called L1, the goal of this step is ...
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Azure AI Search has the concepts ofsearch services,indexes,documents,indexers,data sources,skillsets, andsynonym maps. A search service hosts index, indexers, data sources, skillsets, and synonym maps as top-level objects. A search index provides persistent storage of search documents. Search docum...