Conversational AI with Rasa [ebook]
Conversational AI with Rasa
Language - English
Updated on Mar, 2025
About the Book
Book description
Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa
Key Features
- Understand the architecture and put the underlying principles of the Rasa framework to practice
- Learn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbots
- Explore best practices for working with Rasa and its debugging and optimizing aspects
Book Description
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.
What you will learn
- Use the response selector to handle chitchat and FAQs
- Create custom actions using the Rasa SDK
- Train Rasa to handle complex named entity recognition
- Become skilled at building custom components in the Rasa framework
- Validate and test dialogs end to end in Rasa
- Develop and refine a chatbot system by using conversation-driven deployment processing
- Use TensorBoard for tuning to find the best configuration options
- Debug and optimize dialogue systems based on Rasa
Who this book is for
This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book.
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Author Details

<a href="https://market.tutorialspoint.com/author/guan_wang">Guan Wang</a>
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.
Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.
We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.
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