You have a frequently asked questions (FAQ) PDF file.
You need to create a conversational support system based on the FAQ.
Which service should you use?
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A. B. C. D.A
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.
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/The service that you should use to create a conversational support system based on the frequently asked questions (FAQ) PDF file is QnA Maker.
QnA Maker is a Microsoft Azure cognitive service that allows you to create a conversational support system by automatically extracting question-and-answer pairs from your content, such as an FAQ document, product manuals, and other documentation. QnA Maker uses natural language processing (NLP) and machine learning algorithms to understand the intent of the user's question and provide accurate answers.
Here are some reasons why QnA Maker is the right choice for this scenario:
Easy to use: QnA Maker is easy to set up and use. You don't need to have any coding experience or technical skills to get started.
Integrations: QnA Maker can be easily integrated with popular chatbot platforms like Microsoft Bot Framework, Azure Bot Service, and other platforms that support REST APIs.
Customization: You can customize the answers provided by QnA Maker by adding follow-up prompts, defining custom questions, and refining the knowledge base to improve the accuracy of the responses.
Multi-language support: QnA Maker supports multiple languages, including English, Spanish, French, German, Italian, and Portuguese.
In contrast, Text Analytics is a service that allows you to extract insights from unstructured text data, such as sentiment analysis, key phrase extraction, and entity recognition. Computer Vision is a service that enables you to analyze images and videos to extract insights, such as object detection, OCR, and face recognition. Language Understanding (LUIS) is a service that allows you to create custom language models to understand the user's intent and respond accordingly. While these services may be useful for other scenarios, they are not designed to create conversational support systems based on FAQ documents.