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Conversational AI with Rasa

You're reading from  Conversational AI with Rasa

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077057
Pages 264 pages
Edition 1st Edition
Languages
Authors (2):
Xiaoquan Kong Xiaoquan Kong
Profile icon Xiaoquan Kong
Guan Wang Guan Wang
Profile icon Guan Wang
View More author details

Table of Contents (16) Chapters

Preface Section 1: The Rasa Framework
Chapter 1: Introduction to Chatbots and the Rasa Framework Chapter 2: Natural Language Understanding in Rasa Chapter 3: Rasa Core Section 2: Rasa in Action
Chapter 4: Handling Business Logic Chapter 5: Working with Response Selector to Handle Chitchat and FAQs Chapter 6: Knowledge Base Actions to Handle Question Answering Chapter 7: Entity Roles and Groups for Complex Named Entity Recognition Chapter 8: Working Principles and Customization of Rasa Section 3: Best Practices
Chapter 9: Testing and Production Deployment Chapter 10: Conversation-Driven Development and Interactive Learning Chapter 11: Debugging, Optimization, and Community Ecosystem Other Books You May Enjoy

Summary

In this chapter, we have introduced how to handle business logic. We first taught you how to use fallbacks to handle situations where the system cannot process a user's needs. Then we introduced the rule policy that can use predefined logic to execute a fixed action. Finally, we introduced forms that can automatically interact with users to gather the information that is needed by the task. We also built a weather forecast chatbot to help you understand those concepts better.

In the next chapter, we will discuss how to handle chitchat and FAQs.

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