Chat With SQL Database Using Azure OpenAI + LangChain Agents

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  • Опубликовано: 14 мар 2024
  • In this video, we will explore how to build an LLM-powered agent that can seamlessly communicate with an Azure SQL Database. By combining the power of Azure OpenAI GPT-4 and the lightweight LangChain library, we’ll create an intelligent agent capable of reasoning over structured data.
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Комментарии • 8

  • @ravisrox
    @ravisrox 3 месяца назад

    I created an Azure Machine Learning online deployment with a prompt flow that utilizes a connection to a SQL Server hosted on an Azure VM (different region and resource group). I need to configure security inbound rule to allow the Azure Machine Learning endpoint to access VM. Since the endpoint uses a dynamic IP address, how can I implement the appropriate network security configurations to enable secure communication between the two resources

    • @shweta-lodha
      @shweta-lodha  3 месяца назад

      You can keep both ML deployment and VM in same vnet

  • @abhishekbhattacherjee8873
    @abhishekbhattacherjee8873 19 дней назад +1

    Can you provide the config.env file structure without actual values

  • @pratapanurag757
    @pratapanurag757 4 месяца назад

    great info🙌

  • @sanjukris1
    @sanjukris1 4 месяца назад

    Wondering if you have tried "delete data from all my tables"? 😃