This repository provides the official code examples for the book "Rasa in Action: Building Open Source Conversational AI," the first Chinese-language guide to the Rasa framework. It empowers developers to build industrial-grade conversational AI chatbots, covering various bot types and deployment strategies.

How It Works

The code demonstrates Rasa's core components: Rasa NLU for natural language understanding and Rasa Core for dialogue management. It details building, configuring, and training bots for tasks, FAQs, and knowledge graphs, utilizing features like form-based management, ResponseSelector, and knowledge-based actions. The examples also cover custom Rasa framework extensions and conversation-driven development.

Quick Start & Requirements

• Install dependencies using: pip install --no-deps -r ./full_requirements.txt
• Requires Rasa 3.0.X.
• Links: JD, Amazon Books (companion book)

Highlighted Details

• Covers task-oriented bots, FAQ/chitchat bots, and knowledge-graph-based bots.
• Demonstrates form-based dialogue management and ResponseSelector.
• Includes guidance on testing, production deployment, and framework customization.
• Explores conversation-driven development patterns and interactive learning for bug fixing.

Maintenance & Community

The book is endorsed by Rasa's co-founder and CTO, Alan Nichol. Google provided cloud credits for the work.

Licensing & Compatibility

All rights reserved. The source code is explicitly restricted from use in other projects (open or closed source, book writing, thesis, patents, tutorials) without author authorization.

Limitations & Caveats

The provided source code is strictly for educational purposes related to the book and requires explicit authorization for any other use, including integration into other projects.