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Microsoft Copilot | Microsoft 365 Copilot | Development
Building and customizing solutions using Microsoft 365 Copilot APIs and tools
To connect an AI agent to your SQL database, you will need to integrate the AI capabilities with your database functionalities. Here are the key steps to achieve this:
- Choose a Large Language Model (LLM): An AI agent typically uses a large language model to process natural language queries and generate responses based on the data in your SQL database.
- Use AI Agent Frameworks: Utilize frameworks that support AI agents. For example, Azure AI Foundry Agent Service can be used to create intelligent agents that can interact with your SQL database.
- Define Functions for Data Retrieval: You can define functions that the AI agent will call to query the SQL database. This may involve using SQL queries with parameters that the agent can fill in, allowing it to retrieve structured data effectively.
- Set Up Environment: Ensure that your environment is configured correctly, including setting up necessary credentials and connection strings to access your SQL database securely.
- Implement the AI Agent: Follow the implementation guidelines for the chosen framework to connect the AI agent to your SQL database. This may include coding the logic for how the agent will process queries and retrieve data.
By following these steps, you can effectively connect an AI agent to your SQL database and enable it to perform queries based on natural language inputs.