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[Azure Search] Update agentic-retrieval-setup.md
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articles/search/includes/quickstarts/agentic-retrieval-setup.md

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ms.author: haileytapia
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ms.service: azure-ai-search
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ms.topic: include
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ms.date: 08/26/2025
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ms.date: 10/16/2025
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---
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## Configure access
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To use agentic retrieval, you must deploy two Azure OpenAI models to your Azure AI Foundry resource:
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+ An embedding model for text-to-vector conversion. This quickstart uses `text-embedding-3-large`, but you can use any embedding model that supports the `text-embedding` task.
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+ An embedding model for text-to-vector conversion. This quickstart uses `text-embedding-3-large`, but you can use any `text-embedding` model.
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+ A [supported chat completion model](../../agentic-retrieval-how-to-create-knowledge-base.md#supported-models) for query planning and answer generation. This quickstart uses `gpt-5-mini`. Optionally, you can use one model for query planning and another model for answer generation, but this quickstart uses the same model for simplicity.
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+ An LLM for query planning and answer generation. This quickstart uses `gpt-5-mini`, but you can use any [supported LLM for agentic retrieval](../../agentic-retrieval-how-to-create-knowledge-base.md#supported-models).
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To deploy the Azure OpenAI models:
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1. Sign in to the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs) and select your Azure AI Foundry resource.
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1. From the left pane, select **Model catalog**.
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1. Select **text-embedding-3-large**, and then select **Use this model**.
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1. Enter a deployment name. To simplify your code, we recommend **text-embedding-3-large**.
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1. Leave the default settings.
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1. Select **Deploy**.
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1. Repeat the previous steps, but this time, deploy **gpt-5-mini** from the model catalog.
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For deployment instructions, see [Deploy Azure OpenAI models with Azure AI Foundry](/azure/ai-foundry/how-to/deploy-models-openai).

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