Rasa: Open Source Language Understanding and Dialogue Management

TL;DR

Rasa introduces open source Python tools, Rasa NLU and Rasa Core, designed to simplify building conversational AI by making dialogue management and language understanding accessible to developers with minimal training data.

Contribution

The paper presents Rasa's open source framework, emphasizing ease of use and minimal data requirements for building conversational AI systems.

Findings

Accessible to non-specialist developers

Extensive documentation and testing included

Supports minimal initial training data

Abstract

We introduce a pair of tools, Rasa NLU and Rasa Core, which are open source python libraries for building conversational software. Their purpose is to make machine-learning based dialogue management and language understanding accessible to non-specialist software developers. In terms of design philosophy, we aim for ease of use, and bootstrapping from minimal (or no) initial training data. Both packages are extensively documented and ship with a comprehensive suite of tests. The code is available at https://github.com/RasaHQ/