Question

A retail team stores a product catalog in an Azure Cosmos DB for NoSQL container. They want to expose full-text and faceted search over the catalog using Azure AI Search, and the index must automatically pick up new and modified products without re-crawling the entire container each run. Products are updated frequently throughout the day. What is the most appropriate way to configure the Azure AI Search indexer for this requirement?

Accepted Answer

Configure an Azure AI Search indexer with a change detection policy based on the container's _ts property so the indexer processes only documents changed since the last run.

Answer

Schedule the indexer to run a full reset and re-index of all documents on every execution to guarantee the index stays current.

Answer

Push documents into Azure AI Search directly from the application on every write instead of using an indexer.

Answer

Enable the analytical store on the container and point the Azure AI Search indexer at the analytical store for change tracking.