Bubby2015
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@@ -37,7 +37,7 @@ The **classic option** is to use the classic T-SQL to perform vector operations,
 
 Download the [wikipedia embeddings from here](https://cdn.openai.com/API/examples/data/vector_database_wikipedia_articles_embedded.zip), unzip it and upload it (using [Azure Storage Explorer](https://learn.microsoft.com/azure/vs-azure-tools-storage-manage-with-storage-explorer?tabs=windows) for example) to an Azure Blob Storage container.
 
-In the example the unzipped csv file `vector_database_wikipedia_articles_embedded.csv` is assumed to be uploaded to a blob container name `playground` and in a folder named `wikipedia`.
+In the example the unzipped CSV file `vector_database_wikipedia_articles_embedded.csv` is assumed to be uploaded to a blob container named `playground` and in a folder named `wikipedia`.
 
 Once the file is uploaded, get the [SAS token](https://learn.microsoft.com/azure/storage/common/storage-sas-overview) to allow Azure SQL database to access it. (From Azure storage Explorer, right click on the `playground` container and than select `Get Shared Access Signature`. Set the expiration date to some time in future and then click on "Create". Copy the generated query string somewhere, for example into the Notepad, as it will be needed later)