Azure AI Search Connector Guide > Introduction to Azure AI Search Connector

Introduction to Azure AI Search Connector

Azure AI Search Connectors are essential components that enable seamless integration between Azure AI Search and various data sources. Azure AI Search Connector facilitates the ingestion of data into the search index, allowing organizations to efficiently manage and search large volumes of information.

You can use Azure AI Search Connector to achieve use cases related to e-commerce, content management, and creating knowledge bases for customer support.

Azure AI Search Connector provides the following key features:

•Allows direct integration with multiple data sources, such as, Azure Blob Storage, Azure SQL Database, Cosmos DB, Azure Table Storage, and Custom Data Sources.
•Indexers automate the data extraction and indexing process. Indexers periodically review the connected data sources and update the Azure Search index with new or modified content. You can set a schedule for the indexer to run at regular intervals.
•Skillsets allows you to define a series of cognitive skills that enrich your data during indexing. It includes text analysis, image processing, and custom skills which means you can create and integrate your own skills using Azure Functions or other services.
•Provides REST APIs and SDKs (for languages like .NET, Python, and Java) that allow developers to manage indexes, indexers, and skillsets programmatically, and query the search index to retrieve and display search results.