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Conversational AI with Rasa

You're reading from  Conversational AI with Rasa

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077057
Pages 264 pages
Edition 1st Edition
Languages
Authors (2):
Xiaoquan Kong Xiaoquan Kong
Profile icon Xiaoquan Kong
Guan Wang Guan Wang
Profile icon Guan Wang
View More author details

Table of Contents (16) Chapters

Preface Section 1: The Rasa Framework
Chapter 1: Introduction to Chatbots and the Rasa Framework Chapter 2: Natural Language Understanding in Rasa Chapter 3: Rasa Core Section 2: Rasa in Action
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 Section 3: Best Practices
Chapter 9: Testing and Production Deployment Chapter 10: Conversation-Driven Development and Interactive Learning Chapter 11: Debugging, Optimization, and Community Ecosystem Other Books You May Enjoy

Deploying your Rasa assistant to production

Here we introduce how to deploy your Rasa assistant to production.

When to deploy

It is common to use the minimum viable product or MVP strategy during the product development process. MVP is all about building a usable product prototype that fulfills the key requirements in the most efficient and simple way and then iterating to fine-tune the product details.

In Rasa, the official recommendation is that a product can be put into production as an MVP as soon as it can handle the most important (but not every) "happy path" of Dialogue. It's recommended to use Rasa X to have early users test the product prototype. This is in order to continuously improve the model until the product prototype reaches the MVP standard and you are ready to deploy it to a production environment.

Deployment options

When we want to deploy a Rasa assistant on a large scale, we normally use solutions based on Kubernetes or OpenShift. Rasa...

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