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Follow these steps to install the package and try out the example code for basic tasks Qna maker is an azure cognitive service that enables you to ask questions and get answers from a knowledgebase built from your own documentation. 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A newer version of the question and answering capability is now available as part of azure ai language. In this post, app dev manager patrick king explains how to integrate a qna maker knowledgebase into a client application Use of the qna program is straightforward
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:. You are building a user support bot solution with qna maker. 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. 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. I am trying to run a query using the “evaluate using query channel using qna”, and it hangs with a message
“waiting for evaluation to finish”.
It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (kb) of information.
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