Fixed typo

Author: HeidiSteen

articles/search/search-get-started-portal-import-vectors.md

@@ -27,23 +27,16 @@ This quickstart helps you get started with [integrated vectorization](vector-sea
 
 ### Supported data sources
 
-The **Import and vectorize data** wizard supports the following data sources:
+The **Import and vectorize data** wizard [supports a wide range of Azure data sources](search-import-data-portal.md#supported-data-sources-and-scenarios), but this quickstart provides steps for just those data sources that work with whole files:
 
-+ [Azure Storage](/azure/storage/common/storage-account-create) for blobs and tables. Azure Storage must be a standard performance (general-purpose v2) account. Access tiers can be hot, cool, and cold.
++ [Azure Blob Storage](search-howto-indexing-azure-blob-storage.md) for blobs and tables. Azure Storage must be a standard performance (general-purpose v2) account. Access tiers can be hot, cool, and cold.
 
 + [Azure Data Lake Storage (ADLS) Gen2](/azure/storage/blobs/create-data-lake-storage-account) (an Azure Storage account with a hierarchical namespace enabled). You can confirm that you have Data Lake Storage by checking the **Properties** tab on the **Overview** page.
 
    :::image type="content" source="media/search-get-started-portal-import-vectors/data-lake-storage.png" alt-text="Screenshot of the storage account properties page showing Data Lake Storage.":::
 
 + [OneLake lakehouse (preview)](search-how-to-index-onelake-files.md).
 
-+ [Azure Cosmos DB](/azure/cosmos-db/nosql/quickstart-portal) for NoSQL, MongoDB, and Apache Gremlin (preview).
-
-+ [Azure SQL Database](/azure/azure-sql/database/single-database-create-quickstart), [Azure SQL Managed Instance](/azure/azure-sql/managed-instance/instance-create-quickstart), and Azure SQL Server virtual machines.
-
-> [!NOTE]
-> This quicktart provides steps for just those data sources that work with whole files: Azure Blob sSazure-tables.md), [Cosmos DB for NoSQL indexer](search-howto-index-cosmosdb.md), and [Azuer SQL indexer](search-how-to-index-sql-database.md).
-
 ### Supported embedding models
 
 Use an embedding model on an Azure AI platform in the [same region as Azure AI Search](search-create-service-portal.md#regions-with-the-most-overlap). [Deployment instructions](#set-up-embedding-models) are in this article.

articles/search/search-get-started-portal.md

@@ -77,7 +77,7 @@ The **Import data** wizard supports the creation of a skillset and [AI-enrichmen
 
 ### Configure the index
 
-The wizard infers a schema for the built-in hotels-sample index. Follow these steps to configure the index:
+The wizard infers a schema for the built-in hotels-sample index. To configure the index, follow these steps:
 
 1. Accept the system-generated values for the **Index name** (_hotels-sample-index_) and **Key** field (_HotelId_).
 
@@ -174,7 +174,7 @@ The following examples assume the JSON view and the 2024-05-01-preview REST API
 
 ### Filter examples
 
-Parking, tags, renovation date, rating and location are filterable.
+Parking, tags, renovation date, rating, and location are filterable.
 
 ```json
 {
@@ -223,7 +223,7 @@ The default syntax is [simple syntax](query-simple-syntax.md), but if you want f
 }
 ```
 
-By default, misspelled query terms like `seatle` for `Seattle` fail to return matches in a typical search. The `queryType=full` parameter invokes the full Lucene query parser, which supports the tilde `~` operand. When these parameters are present, the query performs a fuzzy search for the specified keyword. The query seeks matching results along with results that are similar to but not an exact match to the keyword. 
+By default, misspelled query terms like `seatle` for `Seattle` fail to return matches in a typical search. The `queryType=full` parameter invokes the full Lucene query parser, which supports the tilde `~` operand. When these parameters are present, the query performs a fuzzy search for the specified keyword. The query matches on documents that are similar to but not an exact match to the keyword. 
 
 Take a minute to try a few of these example queries for your index. To learn more about queries, see [Querying in Azure AI Search](search-query-overview.md).