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Adding reasoning to deploy featureS
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docs/deploy_features.md

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# RAG chat: Enabling optional features
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This document covers optional features that can be enabled in the deployed Azure resources.
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You should typically enable these features before running `azd up`. Once you've set them, return to the [deployment steps](../README.md#deploying).
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* [Using different chat completion models](#using-different-chat-completion-models)
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* [Using reasoning models](#using-reasoning-models)
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* [Using text-embedding-3 models](#using-text-embedding-3-models)
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* [Enabling GPT-4 Turbo with Vision](#enabling-gpt-4-turbo-with-vision)
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* [Enabling media description with Azure Content Understanding](#enabling-media-description-with-azure-content-understanding)
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> [!NOTE]
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> To revert back to a previous model, run the same commands with the previous model name and version.
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## Using reasoning models
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⚠️ This feature is not currently compatible with [vision integration](./gpt4v.md).
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This feature allows you to use reasoning models to generate responses based on retrieved content. These models spend more time processing and understanding the user's request.
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To enable reasoning models, follow the steps in [the reasoning models guide](./reasoning.md).
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## Using text-embedding-3 models
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By default, the deployed Azure web app uses the `text-embedding-ada-002` embedding model. If you want to use one of the text-embedding-3 models, you can do so by following these steps:

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