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.
ASK INFAPreview
