Chapter 5: Working with Response Selector to Handle Chitchat and FAQs

Most chatbots have simple FAQ and chitchat functions. Both types of functions involve knowing how to choose an appropriate response to a user's request. These functions sound simple, but in reality, they actually involve a lot of work. If we use one intent to represent an FAQ or chitchat intent from the user and pair it with an action, the story will become both complicated and inefficient. Rasa offers the Natural Language Understanding (NLU) ResponseSelector component, which is specifically used for FAQ and chitchat tasks.

In this chapter, you will learn how to define a question and find its corresponding answer. Additionally, you will learn how to configure Rasa to automatically identify a query (by finding a question that is semantically closest to the query) and give the corresponding answer. Finally, you will develop a practical understanding of these concepts with the help of the hands-on exercise...