Summary

  • 1 minute

In this module, you learned how to use Azure AI Search to create an AI Search solution that consists of:

  • A data source where the data to be indexed is stored (though you can also push data directly into an index by using the API).
  • A skillset that defines and enrichment pipeline of cognitive skills to enrich the index data.
  • An index that defines fields, which the user can query.
  • An indexer that populates the fields in the index with values extracted from the source data.

Now that you've completed this module, you've learned to:

  • Create an Azure AI Search solution
  • Develop a search application

You can use the Azure AI Search REST APIs or SDKs to create and manage index objects, and to implement a client application that queries the index to retrieve information.

For more information about Azure AI Search, take a look at the service documentation.