Tutorials
Take a look at our collection of how-to's, best practices, videos and more in the tutorials category of our blog.
November 1st, 2019
The Rasa Masterclass Handbook: Episode 2
Rasa
In Episode 2 of the Rasa Masterclass, we focus on generating NLU training data, including: the basics of conversation design, how to format your assistant’s NLU training data, and how to define the intents and entities your assistant can understand.
October 24th, 2019
The Rasa Masterclass Handbook: Episode 1
Rasa
In Episode 1 of the Rasa Masterclass, we do four things: define what a contextual assistant is, identify the components of Rasa, install Rasa, and create a Rasa starter project.
October 1st, 2019
Announcing the Rasa Masterclass Video Series
Justina Petraitytė
The Rasa Masterclass is a weekly series of videos that will cover the entire process of developing a contextual AI assistant - from just an idea, all the way to deploying an application in production.
August 27th, 2019
Build an AI Voice Assistant with Rasa and Mozilla Tools
Justina Petraitytė
What if you wanted to build and assistant that runs locally and ensures the privacy of your data? You can do it using Rasa Open Source, Mozilla DeepSpeech and Mozilla TTS tools. Check out this tutorial to find out how.
August 15th, 2019
Customizing Training Data Importing
Tobias Wochinger
Since Rasa version 1.2 you can customize the way Rasa imports training data for the model training. This tutorial shows you how to use provided out-of-the-box components or how to build your own importer module and plug it into Rasa.
July 11th, 2019
Integrating Rasa with knowledge bases
Tanja Bunk
What exactly is a knowledge base, and how can you use it to bring your AI assistant's understanding to the next level? Find out in this tutorial.
July 11th, 2019
Set Up a Knowledge Base to Encode Domain Knowledge for Rasa
Tanja Bunk
Learn all about knowledge bases and how to set one up. The tutorial will refer to an example implementation of a knowledge-base ai banking bot.
June 26th, 2019
Building a Common Language for Conversational AI
Alan Nichol
We start creating a common language to talk about the structure of conversations with AI assistants.
May 21st, 2019
Getting Started with Rasa X as an Existing Rasa User
Justina Petraitytė
Rasa X is a tool designed to make it easier to deploy and improve Rasa-powered assistants by learning from real conversations. Learn how you can use it to take your Rasa assistant to the whole new level.
March 19th, 2019
Designing Rasa training stories
Justina Petraitytė
Training data is an essential part of every machine learning model. In this post, we are going to cover the best practices of designing Rasa training stories and what you should keep in mind to build your best conversational AI assistant.
March 13th, 2019
AI Assistants in Healthcare: An Open Source Starter Pack for Developers to Automate Full Conversations
Alex Weidauer
Medicare Locator is an example AI assistant and chatbot to help developers in healthcare with their own, using open source tools and APIs.
February 28th, 2019
Rasa NLU in Depth: Part 3 – Hyperparameter Tuning
Tobias Wochinger
Part 3 of our Rasa NLU in Depth series covers hyperparameter tuning. We will explain how to use Docker containers to run a Rasa NLU hyperparameter search for the best NLU pipeline at scale.
February 28th, 2019
Rasa NLU in Depth: Part 2 – Entity Recognition
Tobias Wochinger
Part 2 of our Rasa NLU in Depth series covers entity recognition. We will explain which components you should use for which type of entity and how to tackle common problems like fuzzy entities.
February 21st, 2019
Rasa NLU in Depth: Part 1 – Intent Classification
Tobias Wochinger
This is part one of our three-part in-depth series about Rasa NLU. It will cover intent classification components, when to choose which and how to solve common real-world problems.
February 19th, 2019
Enhancing Rasa NLU models with Custom Components
Justina Petraitytė
In this tutorial, you'll learn how to create custom components and add them to the Rasa NLU pipeline to take your AI assistants to a whole new level.