Create Question Answering Solutions With Azure AI Language

By Ashwin Venugopal -

 





Introduction

The Azure AI Language service's question-answering feature makes it simple to create applications where users can ask questions in natural language and get relevant responses. Enabling users to ask inquiries in natural language and obtain pertinent responses is a typical pattern for "intelligent" products. Conversational intelligence is effectively added to a conventional frequently asked questions (FAQ) publication with this type of solution.

Understand Question Answering

You may create a knowledge base of question and answer pairs that can be queried using natural language input thanks to Azure AI Language's question answering feature. Client applications, typically bots, can access the knowledge base by publishing it to a REST API.

The knowledge base can be created from existing sources, including:

  • Web sites containing frequently asked question (FAQ) documentation.

  • Files containing structured text, such as brochures or user guides.

  • Built-in chit chat question and answer pairs that encapsulate common conversational exchanges.

Compare Question Answering To Azure AI Language Understanding

The topic of when to use question answering and when to employ Azure AI Language's conversational language understanding skills is raised by a question answering knowledge base, which is a type of language model.

The ability to construct a language model that can be queried using natural language phrases is what unites the two aspects. The two services are in fact complementary. You can build comprehensive natural language solutions that combine language understanding models and question answering knowledge bases.

Conclusion

We have successfully discussed about creating question answering solutions with Azure AI Language.


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