Summary
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.