
In this moment, excerpted from the session “Using Copilot Agents to Chat with Your Structured and Unstructured Data,” Jack Fallon, AI Transformation Consultant, Crowe LLP, highlights the elements of Azure architecture used throughout the use case demo, breaking down the components of data storage, Azure Search Service, and end users.
Key Takeaways
- Data & Azure Search Service: For data storage and Azure Search Service, you have to ensure they are in the same resource group or they won’t be able to link to each other. Any data you put into the blob storage containers can automatically tie to the data source and the Azure Search Service.
- Human query: Once the Azure Search Service is created with the data, you have to be able to query against it by creating an index. You must have the correct JSON schema in order for the search index to work properly.
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