Rasa Core

Rasa Core is a dialogue engine for building AI assistants. It's part of the open source Rasa framework. Rather than if/else statements, it uses a machine learning model trained on example conversations to decide what to do next.

Rasa Open Source + Rasa X: Better Together

We recently launched Rasa X, a free toolset that helps you quickly iterate on and improve the quality of your contextual assistant built using Rasa Open Source.…


A Look Back at Rasa Developer Summit 2019

During two panel discussions and 14 talks, we heard from speakers at companies including N26, Adobe, Lemonade, and Facebook, who related experiences building custom integrations, shared cutting-edge research, and outlined strategies for leading effective product teams.…

Karen White

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 assistant.…

Justina Petraityte

How to build HIPAA compliant AI Assistants using Rasa

TL;DR: Rasa provides a way to develop your HIPAA compliant conversational AI Assistants. It gives you the full functionality and flexibility to build scalable contextual…

Dominik Rosenkranz

Attention, Dialogue, and Learning Reusable Patterns

Our latest research paper introduces the new embedding policy (REDP), which is much better at dealing with uncooperative users than our standard LSTM.…

Alan Nichol

How to migrate your existing Google DialogFlow assistant to Rasa

Learn the step-by-step process of migrating an existing DialogFlow assistant to Rasa and the main reasons why developers choose Rasa over hosted platforms.…

Justina Petraityte