- 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 →
Docs

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.

Learn more about Rasa & contextual assistants →

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.

1.5m+

Downloads

7,000+

Forum Members

300+

Contributors

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.

As seen on:

From the blog

View all posts

The Rasa Masterclass Handbook: Episode 3

by Justina Petraityte on Nov 8, 2019

Episode 3 of the Rasa Masterclass is the first of a 2-part module on training NLU models. In this portion, we’ll focus on choosing a training pipelin configuration, training the model, and testing the model.

The Humans Behind the Bots: Justina Petraityte

by Karen White on Nov 4, 2019

The people of Rasa come together from diverse backgrounds to solve today’s most interesting challenges in NLP and dialogue management. Today we’re talking with Justina Petraityte, Head of Developer Relations at Rasa.

The Rasa Masterclass Handbook: Episode 2

by Justina Petraityte on Nov 1, 2019

In Episode 2 of the Rasa Masterclass, we focus on generating NLU training data, including: the basics of conversation design, how to format your assistant’s NLU training data, and how to define the intents and entities your assistant can understand.

Start creating your own contextual AI assistant!

Join our Community Newsletter
Stay up to date with the latest news from the Rasa community