You're reading from Conversational AI with Rasa Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781801077057

Length 264 pages

Edition 1st Edition

Tools

Rasa

Concepts

Chatbots

Authors (2):

Xiaoquan Kong

Guan Wang

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Table of Contents (16) Chapters

Preface

1. Section 1: The Rasa Framework

2. Chapter 1: Introduction to Chatbots and the Rasa Framework FREE CHAPTER

3. Chapter 2: Natural Language Understanding in Rasa

4. Chapter 3: Rasa Core

5. Section 2: Rasa in Action

6. Chapter 4: Handling Business Logic

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

8. Chapter 6: Knowledge Base Actions to Handle Question Answering

9. Chapter 7: Entity Roles and Groups for Complex Named Entity Recognition

10. Chapter 8: Working Principles and Customization of Rasa

11. Section 3: Best Practices

12. Chapter 9: Testing and Production Deployment

13. Chapter 10: Conversation-Driven Development and Interactive Learning

14. Chapter 11: Debugging, Optimization, and Community Ecosystem

15. Other Books You May Enjoy

Section 3: Best Practices

In this section, you will learn how to deploy the Rasa system to the production environment with high performance and high scalability. You will also learn how to use conversation-driven development patterns and tools to develop chatbots. Finally, you will learn about some nice tools/libraries from the Rasa ecosystem that can help you improve your development efficiency.

This section comprises the following chapters:

Chapter 9, Testing and Production Deployment
Chapter 10, Conversation-Driven Development and Interactive Learning
Chapter 11, Debugging, Optimization, and the Community Ecosystem

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You're reading from Conversational AI with Rasa Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

Table of Contents (16) Chapters

Section 3: Best Practices

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Authors (2)