We recommend making the following chit-chat QnAs more specific:Īdding custom chit-chat with a metadata tag Change these answers to best reflect your bot details. There are some bot-specific questions that are part of the chit-chat data set, and have been filled in with generic answers. You can view the datasets, and choose one that serves as a base for your bot, and then customize the responses. Select the personality that is closest aligned with the tone you want for your bot. The responses range from formal to informal and irreverent. Choosing a personalityĬhit-chat is supported for several predefined personalities: Personality Learn how to add chit-chat to your KB.Ĭhit-chat is supported in many languages. You can easily add chit-chat data sets from pre-defined personalities when creating your KB, and change them at any time. * Office and store locations and hours for an in-person visit.Īdd chit-chat to your bot, to make your bot more conversational and engaging, with low effort. * Differences between sleep, shut down and restartĬustomer service is available via phone, Skype, and text message 24 hours a day. * How to change the BIOS for a Surface laptop * Key-combinations to sleep, shut down, and restart. Power down the Surface laptop with the power button on the keyboard. If your answer should link to other sources or provide a rich experience with media and links, use metadata tagging to distinguish between answers, then submit the query with metadata tags in the strictFilters property to get the correct answer version. The best answers are simple answers but not too simple. If you aren't sure what keywords a customer is entering, use Application Insights data to analyze queries. The knowledge base should have both styles of questions in order to correctly return the best answer. Your user may enter questions with either a conversational style of text, How do I add a toner cartridge to my printer? or a keyword search such as toner cartridge. Adding more words or phrasings that are not part of the main goal of the question does not help QnA Maker find a match. Consider the key word or phrase for each question then create a simple question for that key word or phrase.Īdd as many alternate questions as you need but keep the alterations simple. Creating good questions and answers Good questions If your knowledge base does or should support question hierarchy, this hierarchy can be extracted from the document or created after the document is extracted. Configuring multi-turnĬreate your knowledge base with multi-turn extraction enabled. Product manuals should have clear headings and preferably an index page. In general, FAQ pages should be stand-alone and not combined with other information. Follow the guidelines for data extraction based on your document type. The QnA Maker service is continually improving the algorithms that extract QnAs from content and expanding the list of supported file and HTML formats. For information on migrating existing QnA Maker knowledge bases to question answering, consult the migration guide. Starting 1st October, 2022 you won’t be able to create new QnA Maker resources. For question answering capabilities within the Language Service, see question answering. A newer version of the question and answering capability is now available as part of Azure Cognitive Service for Language. The QnA Maker service is being retired on the 31st of March, 2025.
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