Rasa, the customizable open source machine learning framework to automate text and voice based AI assistants, has released version 2.0 with significant improvements to dialogue management, training data format, and interactive documentation. In addition, the latest release reduces the learning curve to get started while expanding configuration options for advanced users. Rasa Open Source 2.0 simplifies dialogue policy configuration, draws a clearer distinction between policies that use rules and those that use machine learning, and makes it easier to enforce business logic. Previously, rule-based logic in Rasa Open Source was controlled by a combination of 3 or more dialogue policies. The new RulePolicy allows users to implement forms, map actions to intents, and specify fallback logic, using a single policy.