Algorithms alone won’t solve conversational AI - Introducing Rasa X

We're excited to announce Rasa X, our new product for developers in early access. Also, our open source framework Rasa is now available in 1.0…

Rasa X: Getting started as a current Rasa user

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.…

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.…