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

View More author details

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

Technical requirements

You can find all the files for this chapter in the ch04 directory of the GitHub repository at https://github.com/PacktPublishing/Conversational-AI-with-RASA.

In the practice section of this chapter, we will use weather APIs from OpenWeather (https://openweathermap.org/). We should install the client library for OpenWeather APIs with the following command:

pip install pyowm

The rest of the chapter is locked

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

Technical requirements

Unlock this book and the full library FREE for 7 days

Authors (2)