unsafecode
diff --git a/‎README.md
Copy file name to clipboardExpand all lines: README.md
+3-1Lines changed: 3 additions & 1 deletion b/‎README.md
Copy file name to clipboardExpand all lines: README.md
+3-1Lines changed: 3 additions & 1 deletion
diff --git a/‎_assets/cosine-similarity-search-result.png
Copy file name to clipboard
142 KB b/‎_assets/cosine-similarity-search-result.png
Copy file name to clipboard
142 KB
@@ -4,6 +4,8 @@ This example shows how to use Azure OpenAI from Azure SQL database to get the ve
 
 Azure SQL database can be used to significatly speed up vectors operations using column store indexes, so that search can have sub-seconds performances even on large datasets.
 
+![](_assets/cosine-similarity-search-result.png)
+
 ## Download and import the Wikipedia Article with Vector Embeddings
 
 Download the [wikipedia embeedings 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/en-us/azure/vs-azure-tools-storage-manage-with-storage-explorer?tabs=windows) for example) to an Azure Blob Storage container.
@@ -88,4 +90,4 @@ thanks to columnstore, even on small SKU, the performance can be pretty fast, we
 
 Azure SQL database, and by extension SQL Server, already has a great support for vector operations thanks to columnstore and its usage of [SIMD](https://en.wikipedia.org/wiki/Single_instruction,_multiple_data) [AVX-512 instructions](https://www.intel.com/content/www/us/en/architecture-and-technology/avx-512-overview.html). 
 
-A vector is nothing more than a list numbers (in this scope) and list of numbers can be perfectly stored in a column and even better in a columnstore index. You can start to take advantange of optimized vectors operations right now, directly in Azure SQL database, taking also advantage of all other features that it offers to developers.
+A vector is nothing more than a list numbers (in this scope) and list of numbers can be perfectly stored in a column and even better in a columnstore index. You can start to take advantange of optimized vectors operations right now, directly in Azure SQL database, taking also advantage of all other features that it offers to developers.