There are several different ways to create a search index for Azure Cognitive Search. You can choose how to deploy an index based on your skillset, your preferred tools, or your desired level of automation.
Note: If you ran the
deploy.ps1
script in the previous step, you've already created your search index so you can skip to the next step.
At this point, you should have:
- Deployed the necessary resources to Azure using the ARM template or PowerShell script as described in the previous step.
- Uploaded your document set to Azure Storage (e.g., a container in Azure Blob Storage). You can also do this later using the Web App.
You can either use your own dataset, or use the sample documents in this repo. The quickest way to upload the data is to create a new container in the provisioned Storage Account and then use the Storage Explorer
in the Azure Portal to upload the files.
This folder includes three options for creating an index. Each of these approaches is documented in a separate file: