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cohere index creation changes
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articles/ai-studio/how-to/index-add.md

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@@ -7,7 +7,7 @@ ms.service: azure-ai-studio
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ms.custom:
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- ignite-2023
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ms.topic: how-to
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ms.date: 2/24/2024
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ms.date: 4/5/2024
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ms.reviewer: eur
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ms.author: eur
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author: eric-urban
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:::image type="content" source="../media/index-retrieve/project-left-menu.png" alt-text="Screenshot of Project Left Menu." lightbox="../media/index-retrieve/project-left-menu.png":::
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1. Select **+ New index**
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1. Choose your **Source data**. You can choose source data from a list of your recent data sources, a storage URL on the cloud or even upload files and folders from the local machine. You can also add a connection to another data source such as Azure Blob Storage.
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1. Choose your **Source data**. You can choose source data from a list of your recent data sources, a storage URL on the cloud, or upload files and folders from the local machine. You can also add a connection to another data source such as Azure Blob Storage.
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:::image type="content" source="../media/index-retrieve/select-source-data.png" alt-text="Screenshot of select source data." lightbox="../media/index-retrieve/select-source-data.png":::
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1. Select **Next** after choosing index storage
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1. Configure your **Search Settings**
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1. The ***Vector settings*** defaults to true for Add vector search to this search resource. As noted, this enables Hybrid and Hybrid + Semantic search options. Disabling this will limit vector search options to Keyword and Semantic.
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1. The ***Vector settings*** defaults to true for Add vector search to this search resource. As noted, this enables Hybrid and Hybrid + Semantic search options. Disabling this limits vector search options to Keyword and Semantic.
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1. For the hybrid option to work, you need an embedding model. Choose an embedding model from the dropdown.
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1. Select the acknowledgment to deploy an embedding model if it doesn't already exist in your resource
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:::image type="content" source="../media/index-retrieve/search-settings.png" alt-text="Screenshot of configure search settings." lightbox="../media/index-retrieve/search-settings.png":::
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**Important note**: if a non-Azure OpenAI model is not appearing in the dropdown follow the following steps:
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1. Navigate to the Project settings tab in Azure AI Studio.
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If a non-Azure OpenAI model isn't appearing in the dropdown follow these steps:
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1. Navigate to the Project settings in [Azure AI Studio](https://ai.azure.com).
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1. Navigate to connections section in the settings tab and select New connection.
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1. Select "Serverless Model"
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1. Type in the name of your embedding model deployment and select Add connection. If the model does not appear in the dropdown, select the "Enter manually" option.
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1. Select **Serverless Model**.
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1. Type in the name of your embedding model deployment and select Add connection. If the model doesn't appear in the dropdown, select the **Enter manually** option.
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1. Enter the deployment API endpoint, model name, and API key in the corresponding fields. Then add connection.
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1. The embedding model should now appear in the dropdown.
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## Create an index from the Playground
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1. Open your AI Studio project.
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1. Navigate to the Playground tab.
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1. The Select available project index is displayed for existing indexes in the project. If an existing index is not being used, continue to the next steps.
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1. The Select available project index is displayed for existing indexes in the project. If an existing index isn't being used, continue to the next steps.
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1. Select the Add your data dropdown.
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:::image type="content" source="../media/index-retrieve/add-data-dropdown.png" alt-text="Screenshot of playground add your data dropdown." lightbox="../media/index-retrieve/add-data-dropdown.png":::
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1. If a new index is being created, select the ***Add your data*** option. Then follow the steps from ***Create an index from the Indexes tab*** to navigate through the wizard to create an index.
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1. If there is an external index that is being used, select the ***Connect external index*** option.
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1. If there's an external index that is being used, select the ***Connect external index*** option.
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1. In the **Index Source**
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1. Select your data source
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1. Select your AI Search Service

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