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More consistent docs
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docs/appservice.md

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# Debugging the app on App Service
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# RAG chat: Debugging the app on App Service
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When you run `azd up` or `azd deploy`, it deploys your application to App Service,
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and displays the deployed endpoint in the console.

docs/azd.md

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# Deploying with the Azure Developer CLI
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# RAG chat: Deploying with the Azure Developer CLI
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This guide includes advanced topics that are not necessary for a basic deployment. If you are new to the project, please consult the main [README](../README.md#deploying) for steps on deploying the project.
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docs/azure_app_service.md

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# Deploying on Azure App Service
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# RAG chat: Deploying on Azure App Service
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Due to [a limitation](https://github.com/Azure/azure-dev/issues/2736) of the Azure Developer CLI (`azd`), there can be only one host option in the [azure.yaml](../azure.yaml) file.
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By default, `host: containerapp` is used and `host: appservice` is commented out.

docs/azure_container_apps.md

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# Deploying on Azure Container Apps
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# RAG chat: Deploying on Azure Container Apps
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Due to [a limitation](https://github.com/Azure/azure-dev/issues/2736) of the Azure Developer CLI (`azd`), there can be only one host option in the [azure.yaml](../azure.yaml) file.
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By default, `host: containerapp` is used and `host: appservice` is commented out.

docs/customization.md

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# Customizing the Chat App
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# RAG chat: Customizing the chat app
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This guide provides more details for customizing the Chat App.
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docs/deploy_existing.md

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# Deploying with existing Azure resources
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# RAG chat: Deploying with existing Azure resources
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If you already have existing Azure resources, or if you want to specify the exact name of new Azure Resource, you can do so by setting `azd` environment values.
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You should set these values before running `azd up`. Once you've set them, return to the [deployment steps](../README.md#deploying).

docs/deploy_features.md

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# Enabling optional features
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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).

docs/deploy_lowcost.md

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# Deploying with minimal costs
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# RAG chat: Deploying with minimal costs
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This AI RAG chat application is designed to be easily deployed using the Azure Developer CLI, which provisions the infrastructure according to the Bicep files in the `infra` folder. Those files describe each of the Azure resources needed, and configures their SKU (pricing tier) and other parameters. Many Azure services offer a free tier, but the infrastructure files in this project do *not* default to the free tier as there are often limitations in that tier.
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docs/gpt4v.md

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# Using GPT vision model with RAG approach
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# RAG chat: Using GPT vision model with RAG approach
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This repository now includes an example of integrating a GPT Vision model with Azure AI Search. This feature enables indexing and searching images and graphs, such as financial documents, in addition to text-based content, and then sending the retrieved content to the GPT model for response generation.
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docs/localdev.md

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# Local development of Chat App
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# RAG chat: Local development of chat app
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You can only run locally **after** having successfully run the `azd up` command. If you haven't yet, follow the steps in [Azure deployment](../README.md#azure-deployment) above.
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