Warning: This lab has been outdated due to the QnA Maker service retirement. For more information, refer to the following documentation:
https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Azure QnA Maker is a cloud-based service which allows you to create a conversational layer on your organization data. It is knowledge base that is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge base -- automatically. Your knowledge base gets smarter, too, as it continually learns from user behavior.
Introduction
In this lab we will explore the QnA Maker for creating bots that connect to a pre-trained knowledge base. Using QnAMaker, you can upload documents or point to web pages and have it pre-populate a knowledge base that can feed a simple bot for common uses such as frequently asked questions.
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