Rasa is an open-source framework for building conversational AI assistants. It enables developers to create chatbots and voice assistants that understand natural language and engage in meaningful conversations.
Key Features of Rasa
- Natural Language Understanding (NLU): Recognize intents and entities from user input.
- Machine Learning (ML): Train models using supervised learning for dialogue management.
- Customizable: Extend with plugins or integrate with existing systems.
- Cross-Platform: Works seamlessly with web, mobile, and IoT applications.
For deeper insights into Rasa's architecture, visit our Rasa Core documentation. Explore tutorials, case studies, and community resources to enhance your conversational AI projects.
Join the Rasa community to stay updated on the latest developments and best practices. Learn more about Rasa here.