updated readme

README.md

@@ -49,14 +49,14 @@ For more details on the solution check also the following articles:
 # Native or Classic ?
 Azure SQL database can be used to easily and quickly perform vector similarity search. There are two options for this: a native option and a classic option.
 
-The **native option** is to use the new Vector Functions, recently introduced in Azure SQL database. Vector Functions are a set of functions that can be used to perform vector operations directly in the database. 
+The **native option** uses the new Vector Functions, recently introduced in Azure SQL database. Vector Functions are a set of functions that can be used to perform vector operations directly in the database. 
 
 > [!NOTE]  
 > Vector Functions are in Early Adopter Preview. Get access to the preview via https://aka.ms/azuresql-vector-eap-announcement
 
 ![](_assets/azure-sql-cosine-similarity-native.gif)
 
-The **classic option** is to use the classic T-SQL to perform vector operations, with the support for columnstore indexes for getting good performances.
+The **classic option** uses the classic T-SQL to perform vector operations, with the support for columnstore indexes for getting good performances.
 
 > [!IMPORTANT]  
 > This branch (the `main` branch) uses the native vector support in Azure SQL. If you want to use the classic T-SQL, switch to the `classic` branch.