Rasa

Open-source framework for building contextual AI assistants.

Filed under: Chatbots

About Rasa

Rasa is the leading open-source conversational AI framework, giving developers full control over NLU, dialogue management and deployment. Unlike black-box SaaS bots, teams own their models and data end to end. It powers production assistants at banks, insurers and telcos that need on-premise or private-cloud deployment.

Looking for more options? Browse our full AI chatbots directory, or see how Rasa compares with popular alternatives like ChatGPT and Claude.

Key features

Fully open-source NLU and dialogue engine
Deploy anywhere, including on-premise
Contextual multi-turn conversations
Custom actions via Python SDK
Enterprise support via Rasa Pro

Rasa screenshots

Rasa: pros & cons

Pros

Fully open-source NLU and dialogue engine
Deploy anywhere, including on-premise
Contextual multi-turn conversations
Completely free to use

Cons

Fewer advanced features than paid alternatives
Learning curve for advanced features
Output quality depends heavily on input quality

Rasa FAQs

Is Rasa free?

Yes, Rasa is free to use.

What is Rasa used for?

Rasa is open-source framework for building contextual AI assistants.

What are the key features of Rasa?

Key features include fully open-source nlu and dialogue engine, deploy anywhere, including on-premise, contextual multi-turn conversations.

Who should use Rasa?

Rasa is aimed at developers and technical teams.