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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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
You can keep both ML deployment and VM in same vnet
Can you provide the config.env file structure without actual values
Key1 = "VALUE"
Key2 = "VALUE"
great info🙌
Glad you think so!
Wondering if you have tried "delete data from all my tables"? 😃
Nopes 🤗