Merge pull request #271424 from wmwxwa/patch-15

Update AOAI on your data - concepts

Author: prmerger-automator[bot]

articles/ai-services/openai/concepts/use-your-data.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-openai
 ms.topic: quickstart
 author: aahill
 ms.author: aahi
-ms.date: 02/26/2024
+ms.date: 04/08/2024
 recommendations: false
 ms.custom: references_regions 
 ---
@@ -58,13 +58,21 @@ There's an [upload limit](../quotas-limits.md), and there are some caveats about
 
 ## Supported data sources
 
-You need to connect to a data source to upload your data. When you want to use your data to chat with an Azure OpenAI model, your data is chunked in a search index so that relevant data can be found based on user queries. For some data sources such as uploading files from your local machine (preview) or data contained in a blob storage account (preview), Azure AI Search is used. 
+You need to connect to a data source to upload your data. When you want to use your data to chat with an Azure OpenAI model, your data is chunked in a search index so that relevant data can be found based on user queries.
+
+The [Integrated Vector Database in Azure Cosmos DB for MongoDB](/azure/cosmos-db/mongodb/vcore/vector-search) natively supports integration with Azure OpenAI On Your Data.
+
+For some data sources such as uploading files from your local machine (preview) or data contained in a blob storage account (preview), Azure AI Search is used.
+
+>[!TIP]
+>If you use [Azure Cosmos DB](/azure/cosmos-db/introduction) (except for its vCore-based API for MongoDB), you may take advantage of the Azure AI Advantage offer, which provides the equivalent of up to $6,000 in Azure Cosmos DB throughput credits.
 
 When you choose the following data sources, your data is ingested into an Azure AI Search index.
 
 |Data source  | Description  |
 |---------|---------|
 | [Azure AI Search](/azure/search/search-what-is-azure-search)  | Use an existing Azure AI Search index with Azure OpenAI On Your Data.      |
+| [Azure Cosmos DB](/azure/cosmos-db/introduction)  | Azure Cosmos DB's API for Postgres and vCore-based API for MongoDB have natively integrated vector indexing and do not require Azure AI Search; however, its other APIs do require Azure AI Search for vector indexing. Azure Cosmos DB will offer a natively integrated vector database by mid-2024.     |
 |Upload files (preview)      | Upload files from your local machine to be stored in an Azure Blob Storage database, and ingested into Azure AI Search.         |
 |URL/Web address (preview)        | Web content from the URLs is stored in Azure Blob Storage.         |
 |Azure Blob Storage (preview) | Upload files from Azure Blob Storage to be ingested into an Azure AI Search index.         |
@@ -141,7 +149,7 @@ If you want to implement additional value-based criteria for query execution, yo
 
 ### Limitations
 * Only Azure Cosmos DB for MongoDB vCore is supported.
-* The search type is limited to [Azure Cosmos DB for MongoDB vCore vector search](/azure/cosmos-db/mongodb/vcore/vector-search) with an Azure OpenAI embedding model.
+* The search type is limited to [Integrated Vector Database in Azure Cosmos DB for MongoDB vCore](/azure/cosmos-db/mongodb/vcore/vector-search) with an Azure OpenAI embedding model.
 * This implementation works best on unstructured and spatial data.
 
 ### Data preparation