Open Source

How to build a voice assistant with open source Rasa and Mozilla tools

What if you wanted to build and assistant that runs locally and ensures the privacy of your data? You can do it using open source Rasa, Mozilla DeepSpeech and Mozilla TTS tools. Check out this tutorial to find out how.…

Customizing Training Data Importing

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.…

Building a Common Language for Conversational AI

We start creating a common language to talk about the structure of conversations with AI assistants.…

Announcing the Rasa Contributor Program

The Rasa open source community is growing faster than ever. Today we are excited to announce a new community initiative - we’re introducing the Rasa Contributor Program!…

What our new funding means for our developer community

We’ll double-down on open source, new developer tools and machine learning research to build the standard infrastructure layer for conversational AI…

Designing Rasa training stories

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.…

AI Assistants in Healthcare: An Open Source Starter Pack for Developers to Automate Full Conversations

Medicare Locator is an example AI assistant and chatbot to help developers in healthcare with their own, using open source tools and APIs.…

Rasa NLU in Depth: Part 3 – Hyperparameter Tuning

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.…

Rasa NLU in Depth: Part 2 – Entity Recognition

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.…