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Use of the qna program is straightforward You can now write code, set breakpoints, make changes to the code, and debug your newly modified code—all from your editor. Followed by a relevance clause, and click the q/a button for evaluation
The qna program can evaluate many queries at the same time Start your app by running npm start, and start debugging in vs code by pressing f5 or by clicking the green debug icon It ignores any text not preceded by q:.
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A newer version of the question and answering capability is now available as part of azure ai language. To create a query, call the query (array) or query (url, query options) method, depending on the type of the storage you access The query supports method chaining. But potentially you could use the qna.exe to evaluate queries inside of a file, and redirect the output to some other file
You could build a batch or shell script to loop through that then. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (kb) of information. The input file would be a series of relevance queries, one per line, including the q I’m using this method from a scheduled task to run a query and take some actions based on the query output.
In this post, app dev manager patrick king explains how to integrate a qna maker knowledgebase into a client application
Qna maker is an azure cognitive service that enables you to ask questions and get answers from a knowledgebase built from your own documentation.
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