Tutorials
Take a look at our collection of how-to's, best practices, videos and more in the tutorials category of our blog.
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
Rasa X: Getting started as a current 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.
January 24th, 2019
Failing Gracefully with Rasa
Tobias Wochinger
Rasa Stack is an open source machine learning-based framework for building level 3 contextual AI assistants. In Rasa Core version 0.13 we…
January 10th, 2019
Building contextual assistants with Rasa Forms
Justina Petraitytė
In this tutorial, you'll learn how to use the new FormPolicy in Rasa to build an AI assistant capable of making restaurant suggestions.
October 17th, 2018
Level 3 Contextual Assistants: Beyond Answering Simple Questions
Alex Weidauer
This posts gives an overview of the key capabilities that AI assistants need to handle contextual conversations.
September 27th, 2018
Conversational AI: Your Guide to Five Levels of AI Assistants in Enterprise
Alex Weidauer
I wanted to give a bit more detail to the concept of five levels of AI assistants. We've been talking about it at Rasa for some time, and…
September 20th, 2018
Going beyond ‘Hey Google’: building a Rasa-powered Google Assistant
Justina Petraitytė
In this post, we are going to show you how you can enable your Google Assistant to handle deeper and more natural conversations by integrating it with Rasa Stack.