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articles/ai-foundry/how-to/secure-data-playground.md

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## Use your data in Azure AI Foundry portal
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Now, the data you add to Azure AI Foundry is secured to the isolated network provided by your Azure AI Foundry hub and project. For an example of using data, visit the [build a question and answer copilot](../tutorials/deploy-copilot-ai-foundry.md) tutorial.
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Now, the data you add to Azure AI Foundry is secured to the isolated network provided by your Azure AI Foundry hub and project. For an example of using data, visit the [build a question and answer copilot](../tutorials/copilot-sdk-build-rag.md) tutorial.
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## Deploy web apps
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articles/ai-foundry/index.yml

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- linkListType: how-to-guide
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links:
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- text: Select and deploy models from the catalog
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url: how-to/model-catalog.md
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url: how-to/model-catalog-overview.md
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- text: Compare benchmarks across models and datasets
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url: how-to/benchmark-model-in-catalog.md
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- text: What is Azure AI Agent service?

articles/ai-foundry/model-inference/toc.yml

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- name: Work with reasoning models
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href: ./how-to/use-chat-reasoning.md
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- name: Develop with LangChain and LangGraph
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href: ../../ai-studio/how-to/develop/langchain.md?context=/azure/ai-foundry/model-inference/context/context
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href: ../how-to/develop/langchain.md?context=/azure/ai-foundry/model-inference/context/context
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- name: Develop with Llama-Index
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href: ../../ai-studio/how-to/develop/llama-index.md?context=/azure/ai-foundry/model-inference/context/context
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href: ../how-to/develop/llama-index.md?context=/azure/ai-foundry/model-inference/context/context
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- name: Develop with Semantic Kernel
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href: ../../ai-studio/how-to/develop/semantic-kernel.md?context=/azure/ai-foundry/model-inference/context/context
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href: ../how-to/develop/semantic-kernel.md?context=/azure/ai-foundry/model-inference/context/context
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- name: Reference
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items:
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- name: Azure AI Model Inference API

articles/ai-foundry/quickstarts/get-started-playground.md

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- You need permissions to create an Azure AI Foundry hub or have one created for you.
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- If your role is **Contributor** or **Owner**, you can follow the steps in this tutorial.
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- If your role is **Azure AI Developer**, the hub must already be created before you can complete this tutorial. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../concepts/ai-resources.md) and [Azure AI roles](../concepts/rbac-ai-studio.md).
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- If your role is **Azure AI Developer**, the hub must already be created before you can complete this tutorial. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../concepts/ai-resources.md) and [Azure AI roles](../concepts/rbac-ai-foundry.md).
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- Your subscription needs to be below your [quota limit](../how-to/quota.md) to [deploy a new model in this tutorial](#deploy-a-chat-model). Otherwise you already need to have a [deployed chat model](../how-to/deploy-models-openai.md).
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articles/ai-foundry/toc.yml

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href: ai-services/how-to/connect-ai-services.md
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displayName: cognitive,task
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- name: What are Azure AI services?
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href: concepts/what-are-ai-services.md
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href: /azure/ai-services/what-are-ai-services
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- name: Azure OpenAI
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- name: Deploy Azure OpenAI models

articles/ai-foundry/tutorials/copilot-sdk-build-rag.md

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To avoid incurring unnecessary Azure costs, you should delete the resources you created in this tutorial if they're no longer needed. To manage resources, you can use the [Azure portal](https://portal.azure.com?azure-portal=true).
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But don't delete them yet, if you want to deploy your chat app to Azure in [the next part of this tutorial series](copilot-sdk-evaluate-deploy.md).
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But don't delete them yet, if you want to deploy your chat app to Azure in [the next part of this tutorial series](copilot-sdk-evaluate.md).
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## Next step
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> [!div class="nextstepaction"]
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> [Part 3: Evaluate your chat app to Azure](copilot-sdk-evaluate-deploy.md)
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> [Part 3: Evaluate your chat app to Azure](copilot-sdk-evaluate.md)

articles/ai-foundry/tutorials/copilot-sdk-create-resources.md

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1. Use **API key** for **Authentication**.
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> [!IMPORTANT]
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> The **API key** option isn't recommended for production. To select and use the recommended **Microsoft Entra ID** authentication option, you must also configure access control for the Azure AI Search service. Assign the *Search Index Data Contributor* and *Search Service Contributor* roles to your user account. For more information, see [Connect to Azure AI Search using roles](../../search/search-security-rbac.md) and [Role-based access control in Azure AI Foundry portal](../concepts/rbac-ai-studio.md).
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> The **API key** option isn't recommended for production. To select and use the recommended **Microsoft Entra ID** authentication option, you must also configure access control for the Azure AI Search service. Assign the *Search Index Data Contributor* and *Search Service Contributor* roles to your user account. For more information, see [Connect to Azure AI Search using roles](../../search/search-security-rbac.md) and [Role-based access control in Azure AI Foundry portal](../concepts/rbac-ai-foundry.md).
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1. Select **Add connection**.
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articles/ai-foundry/tutorials/screen-reader.md

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Once you have created or selected a project, you can also use the **Recent projects picker** button within the navigation to change project at any time.
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For more information about the navigation, see [What is Azure AI Foundry](../what-is-ai-studio.md).
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For more information about the navigation, see [What is Azure AI Foundry](../what-is-ai-foundry.md).
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## Projects
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## Related content
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* Learn how you can build generative AI applications in the [Azure AI Foundry](../what-is-ai-studio.md).
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* Learn how you can build generative AI applications in the [Azure AI Foundry](../what-is-ai-foundry.md).
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* [Build a custom knowledge retrieval (RAG) app with the Azure AI Foundry SDK](copilot-sdk-create-resources.md)
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* Get answers to frequently asked questions in the [Azure AI FAQ article](../faq.yml).

articles/ai-foundry/what-is-ai-foundry.md

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When you come to the Azure AI Foundry portal, you find that all paths lead to a project. Projects are easy-to-manage containers for your work—and the key to collaboration, organization, and connecting data and other services. Before you create your first project, you can explore models from many providers, and try out AI services and capabilities. When you're ready to move forward with a model or service, Azure AI Foundry guides you to create a project. Once you are in a project, all of the Azure AI capabilities come to life.
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> [!NOTE]
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> If you want to focus only on Azure OpenAI models and capabilities, we have a place where you can work with your Azure OpenAI resource instead of a project. For more information, see [What is Azure OpenAI in Azure AI Foundry?](azure-openai-in-ai-studio.md). However, for most situations, we recommend an Azure AI Foundry project to build with a wide range of AI models, functionalities and tools as you build, test, and deploy AI solutions.
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> If you want to focus only on Azure OpenAI models and capabilities, we have a place where you can work with your Azure OpenAI resource instead of a project. For more information, see [What is Azure OpenAI in Azure AI Foundry?](azure-openai-in-ai-foundry.md). However, for most situations, we recommend an Azure AI Foundry project to build with a wide range of AI models, functionalities and tools as you build, test, and deploy AI solutions.
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## Work in an Azure AI Foundry project
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## How to get access
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You can [explore Azure AI Foundry portal (including the model catalog)](./how-to/model-catalog.md) without signing in.
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You can [explore Azure AI Foundry portal (including the model catalog)](./how-to/model-catalog-overview.md) without signing in.
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But for full functionality there are some requirements:
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articles/ai-services/agents/includes/quickstart-foundry.md

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## Prerequisites
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- An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
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- Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-studio/concepts/rbac-ai-studio.md) assigned.
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- Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) assigned.
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1. If you want to create a new one, select **Create new hub** and supply a name. If you want to customize the default values, see the [Azure AI Foundry documentation](../../../ai-studio/how-to/create-projects.md?tabs=ai-studio#customize-the-hub).
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1. If you want to create a new one, select **Create new hub** and supply a name. If you want to customize the default values, see the [Azure AI Foundry documentation](../../../ai-foundry/how-to/create-projects.md?tabs=ai-studio#customize-the-hub).
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:::image type="content" source="../../../ai-studio/media/how-to/projects/projects-create-details.png" alt-text="Screenshot of the project details page within the create project dialog." lightbox="../../../ai-studio/media/how-to/projects/projects-create-details.png":::
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:::image type="content" source="../../../ai-foundry/media/how-to/projects/projects-create-details.png" alt-text="Screenshot of the project details page within the create project dialog." lightbox="../../../ai-foundry/media/how-to/projects/projects-create-details.png":::
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## Deploy a model
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1. Sign in to [Azure AI Foundry](https://ai.azure.com).
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1. Go to your project or [create a new project](../../../ai-studio//how-to/create-projects.md) in Azure AI Foundry portal.
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1. Go to your project or [create a new project](../../../ai-foundry/how-to/create-projects.md) in Azure AI Foundry portal.
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1. From your project overview, select **Agents**, located under **Build and customize**.
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1. Select your Azure OpenAI resource.

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