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

Technical requirements

In this chapter, we will introduce a new Python package called rasa-sdk. It has exactly the same dependencies as rasa. We already introduced this in Chapter 1, Introduction to Chatbots and the Rasa Framework. Specifically, you need a Python 3.6, 3.7, or 3.8 environment to successfully install the software.

You can find all the files for this chapter in the ch03 directory of the GitHub repository at the following URL: https://github.com/PacktPublishing/Conversational-AI-with-RASA.

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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

Technical requirements

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Authors (2)