Merge pull request #273617 from wmwxwa/patch-22

Update introduction.md

Author: prmerger-automator[bot]

articles/cosmos-db/introduction.md

@@ -21,7 +21,7 @@ Today's applications are required to be highly responsive and always online. The
 
 The surge of AI-powered applications created another layer of complexity, because many of these applications integrate a multitude of data stores. For example, some organizations built applications that simultaneously connect to MongoDB, Postgres, Redis, and Gremlin. These databases differ in implementation workflow and operational performances, posing extra complexity for scaling applications.
 
-Azure Cosmos DB simplifies and expedites your application development by being the single database for your operational data needs, from [caching](https://medium.com/@marcodesanctis2/using-azure-cosmos-db-as-your-persistent-geo-replicated-distributed-cache-b381ad80f8a0) to backup to [vector indexing and search](vector-database.md). It provides the data infrastructure for modern applications like AI, digital commerce, Internet of Things, and booking management. It can accommodate all your operational data models, including relational, document, vector, key-value, graph, and table.
+Azure Cosmos DB simplifies and expedites your application development by being the single database for your operational data needs, from [geo-replicated distributed caching](https://medium.com/@marcodesanctis2/using-azure-cosmos-db-as-your-persistent-geo-replicated-distributed-cache-b381ad80f8a0) to backup to [vector indexing and search](vector-database.md). It provides the data infrastructure for modern applications like AI, digital commerce, Internet of Things, and booking management. It can accommodate all your operational data models, including relational, document, vector, key-value, graph, and table.
 
 ## An AI database providing industry-leading capabilities...