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> You could use the `RAG pattern` to improve the search experience in your web application. For instance, when a `user queries the search system`, it can retrieve `relevant documents from Azure Storage Blob` Containers and use the `retrieved information to generate a more accurate and detailed search result`. [Click here for more information about RAG and AI Search](=https://github.com/brown9804/MicrosoftCloudEssentialsHub/tree/main/0_Azure/3_AzureAI/0_AISearch/demos).
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## Wiki
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<details>
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<summary><b>Table of Wiki </b> (Click to expand)</summary>
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<summary><b>List of References </b> (Click to expand)</summary>
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-[Create a private endpoint for a secure connection to Azure AI Search](https://learn.microsoft.com/en-us/azure/search/service-create-private-endpoint#use-the-azure-portal-to-access-a-private-search-service)
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</details>
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## Content
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<details>
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<summary><b>Table of Contents</b> (Click to expand)</summary>
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-[Building a Private ChatBot with Azure OpenAI](#building-a-private-chatbot-with-azure-openai)
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-[Wiki](#wiki)
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-[How to](#how-to)
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-[Create an Azure OpenAI Resource](#create-an-azure-openai-resource)
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-[Set Up Azure AI Search](#set-up-azure-ai-search)
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-[Integrate with Virtual Network VNet](#integrate-with-virtual-network-vnet)
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-[Configure Private Endpoints for Azure AI Search](#configure-private-endpoints-for-azure-ai-search)
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-[Configure Private Endpoints for Azure OpenAI](#configure-private-endpoints-for-azure-openai)
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-[Set Up Network Security Groups NSGs](#set-up-network-security-groups-nsgs)
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