azure-search-documents-dotnet

Integrate Azure Cognitive Search into .NET by using the Azure.Search.Documents SDK to select the appropriate clients, create indexes, and execute queries. This replaces manual indexing with concise SDK-based operations.

Azure Search supports vector and semantic search in C# through the Azure.Search.Documents SDK. You can implement vector-based ranking and semantic understanding alongside traditional keyword search for highly relevant results.

The best way to manage Azure Search indexes in .NET is using the SearchIndexClient with the CreateOrUpdateIndexAsync method. This enables programmatic index creation and schema management within your application workflow.

You can perform document CRUD operations with Azure Search in .NET by utilizing the SearchClient from the Azure.Search.Documents SDK. This allows seamless uploading, merging, and deleting of documents within your search index.

Azure Search vector integration in .NET is suitable for web and mobile apps, internal portals, e-commerce catalogs, and document repositories. These workloads benefit from fast, relevant search results across API and enterprise environments.

For Azure Search in .NET, use SearchIndexClient for index management and SearchIndexerClient for data source indexing. Use SearchClient specifically for executing search queries and performing document CRUD operations.