- Why Rasa?The standard infrastructure layer for conversational AI - open source
- FeaturesBuild, improve, and deploy contextual chatbots and assistants
- Pricing
- Support Options
- Join the CommunityBe a part of the fastest growing conversational AI community
- How to ContributeGet involved! There are lots of different ways to contribute
- View all Customer Stories →
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Create assistants that go beyond basic FAQs

Machine learning tools for developers to build, improve, and deploy contextual chatbots and assistants. Powered by open source.

Developers at leading companies use Rasa

Add context to your chatbot

Automate text-and voice-based conversations end-to-end, integrate with your APIs, and connect to any channel.

Join our fast-growing developer community

Rasa Community is a diverse group of makers and conversational AI enthusiasts.

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Customer Stories

Automating 30% of customer service requests

N26, the leading mobile bank in Europe uses their in-app AI assistant Neon to offer a faster service to their users. Learn more about how they use Rasa to automate their customer support delivering the best experience.

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Customizing Training Data Importing

by Tobias Wochinger on Aug 15, 2019

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.