Update vector-database.md

Author: wmwxwa

articles/cosmos-db/vector-database.md

@@ -12,7 +12,7 @@ ms.date: 03/30/2024
 
 # Vector database
 
-[!INCLUDE[NoSQL, MongoDB vCore, PostgreSQL](includes/appliesto-nosql-mongodbvcore-postgresql.md)]
+[!INCLUDE[NoSQL, MongoDB, PostgreSQL](includes/appliesto-nosql-mongodb-postgresql.md)]
 
 Vector databases are used in numerous domains and situations across analytical and generative AI, including natural language processing, video and image recognition, recommendation system, search, etc.
 
@@ -107,7 +107,7 @@ You can implement integrated vector database functionalities for the following [
 
 ### API for MongoDB
 
-Use the natively [integrated vector database in Azure Cosmos DB for MongoDB vCore](mongodb/vcore/vector-search.md), which offers an efficient way to store, index, and search high-dimensional vector data directly alongside other application data. This approach removes the necessity of migrating your data to costlier alternative vector databases and provides a seamless integration of your AI-driven applications.
+Use the natively [integrated vector database in Azure Cosmos DB for MongoDB](mongodb/vcore/vector-search.md), which offers an efficient way to store, index, and search high-dimensional vector data directly alongside other application data. This approach removes the necessity of migrating your data to costlier alternative vector databases and provides a seamless integration of your AI-driven applications.
 
 #### Code samples