Book Image

Conversational AI with Rasa

By : Xiaoquan Kong, Guan Wang
Book Image

Conversational AI with Rasa

By: Xiaoquan Kong, Guan Wang

Overview of this book

The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source. Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system. By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle.
Table of Contents (16 chapters)
1
Section 1: The Rasa Framework
5
Section 2: Rasa in Action
11
Section 3: Best Practices

Section 2: Rasa in Action

In this section, you will learn how to use the functions provided by the Rasa framework to build different types of chatbots. You will also learn how to create and use custom components. Through hands-on examples, you will gain practical experience in handling various dialogue tasks.

This section comprises the following chapters:

  • 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