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

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@@ -149,19 +149,22 @@ If you want to implement additional value-based criteria for query execution, yo
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* Only vCore-based Azure Cosmos DB for MongoDB is supported.
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* The search type is limited to [Integrated Vector Database in Azure Cosmos DB for MongoDB](/azure/cosmos-db/mongodb/vcore/vector-search) with an Azure OpenAI embedding model.
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* This implementation works best on unstructured and spatial data.
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### Data preparation
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Use the script provided on [GitHub](https://github.com/microsoft/sample-app-aoai-chatGPT/tree/main/scripts#data-preparation) to prepare your data.
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<!--### Add your data source in Azure OpenAI Studio
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To add vCore-based Azure Cosmos DB for MongoDB as a data source, you will need an existing Azure Cosmos DB for MongoDB index containing your data, and a deployed Azure OpenAI Ada embeddings model that will be used for vector search.
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1. In the [Azure OpenAI portal](https://oai.azure.com/portal) chat playground, select **Add your data**. In the panel that appears, select ** vCore-based Azure Cosmos DB for MongoDB** as the data source.
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2. Select your Azure subscription and database account, then connect to your Azure Cosmos DB account by providing your Azure Cosmos DB account username and password.
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1. Select your Azure subscription and database account, then connect to your Azure Cosmos DB account by providing your Azure Cosmos DB account username and password.
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:::image type="content" source="../media/use-your-data/add-mongo-data-source.png" alt-text="A screenshot showing the screen for adding Mongo DB as a data source in Azure OpenAI Studio." lightbox="../media/use-your-data/add-mongo-data-source.png":::
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3. **Select Database**. In the dropdown menus, select the database name, database collection, and index name that you want to use as your data source. Select the embedding model deployment you would like to use for vector search on this data source, and acknowledge that you will incur charges for using vector search. Then select **Next**.
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1. **Select Database**. In the dropdown menus, select the database name, database collection, and index name that you want to use as your data source. Select the embedding model deployment you would like to use for vector search on this data source, and acknowledge that you will incur charges for using vector search. Then select **Next**.
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:::image type="content" source="../media/use-your-data/select-mongo-database.png" alt-text="A screenshot showing the screen for adding Mongo DB settings in Azure OpenAI Studio." lightbox="../media/use-your-data/select-mongo-database.png":::
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-->

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