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Quickstart: Use SDK to create and manage knowledge base - QnA Maker . . . Follow these steps to install the package and try out the example code for basic tasks The QnA Maker service is being retired on the October 31, 2025 (extended from March 31, 2025) A newer version of the question and answering capability is now available as part of Azure AI Language
AI-900: How to test your knowledge base with QnA Maker portal Learn how to use the built-in test interface in QnA Maker portal to test your knowledge base efficiently and easily Find out why this option is better than making REST API calls or publishing the service and testing it from a custom-built application You are building a user support bot solution with QnA Maker
front-end search engine for ms marco qna query set, going to evolve . . . Start your app by running npm start, and start debugging in VS Code by pressing F5 or by clicking the green debug icon You can now write code, set breakpoints, make changes to the code, and debug your newly modified code—all from your editor
The QnA tool | BigFix Developer Use of the QnA program is straightforward Simply type Q: followed by a relevance clause, and click the Q A button for evaluation The QnA program can evaluate many queries at the same time It ignores any text not preceded by Q:
How to test a knowledge base - QnA Maker - Foundry Tools You can test the published version of knowledge base in the test pane Once you have published the KB, select the Published KB box and send a query to get results from the published KB
QnA Maker Runtime Error - Microsoft Q A QnA Maker is a cloud-based NLP service that easily creates a natural conversational layer over your data It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information
Troubleshooting - QnA Maker - Foundry Tools | Microsoft Learn The QnA Maker service is being retired on the October 31, 2025 (extended from March 31, 2025) A newer version of the question and answering capability is now available as part of Azure AI Language