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Copy file name to clipboardExpand all lines: README.md
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## Features
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This solution deploys a web-based chat application with an AI agent running in Azure Container Apps. The agent leverages the Azure AI Agent service and utilizes Azure AI Search for knowledge retrieval from uploaded files, enabling it to generate responses with citations. The solution also includes built-in monitoring capabilities with tracing to ensure easier troubleshooting and optimized performance.
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This solution deploys a web-based chat application with an AI agent running in Azure Container Apps. Here is a screenshot:
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The agent leverages the Azure AI Agent service and utilizes Azure AI Search for knowledge retrieval from uploaded files, enabling it to generate responses with citations. The solution also includes built-in monitoring capabilities with tracing to ensure easier troubleshooting and optimized performance.
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This solution creates an Azure AI Foundry hub, project and connected resources including Azure AI Services, AI Search and more. More details about the resources can be found in the [resources](#resources) documentation. There are options to enable Retrieval-Augmented Generation (RAG) and use logging, tracing, and monitoring.
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|**Setting**|**Description**|**Default value**|
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|------------|----------------| ------------|
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|**Existing Project Connection String**| Specify an existing project connection string to be used instead of provisioning new resources. ||
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|**Azure Region**| Select a region with quota which supports your selected model. ||
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|**Model**| Choose from the [list of models supported by Azure AI Agent Service](https://learn.microsoft.com/azure/ai-services/agents/concepts/model-region-support) for your selected region. | gpt-4o-mini |
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|**Model Format**| Choose from OpenAI or Microsoft, depending on your model. | OpenAI |
Copy file name to clipboardExpand all lines: docs/deploy_customization.md
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By default, this template will use a naming convention with unique strings to prevent naming collisions within Azure.
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To override default naming conventions, the following keys can be set:
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*`AZURE_EXISTING_AIPROJECT_CONNECTION_STRING` - An existing connection string to be use. If specified, resources for AI Foundry Hub, AI Foundry Project, and Azure AI service will not be created.
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*`AZURE_AIHUB_NAME` - The name of the AI Foundry Hub resource
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*`AZURE_AIPROJECT_NAME` - The name of the AI Foundry Project
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*`AZURE_AIENDPOINT_NAME` - The name of the AI Foundry online endpoint used for deployments
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*`AZURE_AISERVICES_NAME` - The name of the Azure AI service
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*`AZURE_SEARCH_SERVICE_NAME` - The name of the Azure Search service
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*`AZURE_STORAGE_ACCOUNT_NAME` - The name of the Storage Account
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