How to build an Azure Bot Service chatbot using a Power BI dataset as a knowledge base?

Hi LB_Team  ,

Thank you for reaching out to the Microsoft Fabric Community Forum.

To start, set up the Azure Bot Service to host your chatbot, use Azure OpenAI or LUIS to understand user questions, and connect to your Power BI dataset via the XMLA endpoint or REST APIs. Ensure secure access by registering an Azure AD app with appropriate permissions.

To make your Power BI dataset accessible to a chatbot, follow these general steps:

Step 1: Register an Azure AD Application
Begin by registering an application in Azure Active Directory. This application will serve as a secure intermediary between your chatbot and Power BI, allowing authenticated data access. Be sure to assign the necessary permissions for the bot to read Power BI data.

Step 2: Grant Access to the Power BI Workspace
After publishing your dataset to the Power BI Service, place it in a Premium workspace (or Premium per user). Grant your Azure AD application access to this workspace to enable secure, real-time data queries by the bot.

Step 3: Enable XMLA Endpoint for Dataset Access
With Power BI Premium, you can use the XMLA endpoint to allow external tools, such as your bot’s backend, to connect and query datasets using DAX. Confirm that the XMLA endpoint is enabled and set to allow read access in the workspace settings.

Step 4: Build a Query Layer to Translate User Questions
Develop a layer that interprets natural language questions and converts them into queries compatible with your Power BI dataset. AI services like Azure OpenAI or LUIS can help identify user intent and generate appropriate DAX queries.

Step 5: Securely Authenticate Your Bot
Ensure your chatbot uses secure authentication methods, such as OAuth2 with Azure AD, to connect to Power BI. Store credentials securely and obtain tokens before making any data requests.

Step 6: Process and Format the Data Response
Once the bot retrieves data, present the results in a clear and user-friendly format. This may include summarizing values, formatting dates, or grouping information based on the query.

By following these steps, your chatbot can serve as an interactive interface for delivering insights from your live Power BI data.

Here are the documents; please refer to the following:

Power BI REST APIs for embedded analytics and automation - Power BI REST API | Microsoft Learn

Bot Framework Composer documentation | Microsoft Learn

I hope this helps you, if you need any further assistance, feel free to reach out.

Thank you.