This release is a pre-release and may not be stable for production use.
Rasa
Rasa is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs) to enable more contextually aware and agentic interactions. Whether you’re new to conversational AI or an experienced developer, Rasa offers enhanced flexibility, control, and performance for mission-critical applications.
Key Features:
- Flows for Business Logic: Easily define business logic through Flows, a simplified way to describe how your AI assistant should handle conversations. Flows help streamline the development process, focusing on key tasks and reducing the complexity involved in managing conversations.
- Automatic Conversation Repair: Ensure seamless interactions by automatically handling interruptions or unexpected inputs. Developers have full control to customize these repairs based on specific use cases.
- Customizable and Open: Fully customizable code that allows developers to modify Rasa to meet specific requirements, ensuring flexibility and adaptability to various conversational AI needs.
- Robustness and Control: Maintain strict adherence to business logic, preventing unwanted behaviors like prompt injection and hallucinations, leading to more reliable responses and secure interactions.
- Built-in Security: Safeguard sensitive data, control access, and ensure secure deployment, essential for production environments that demand high levels of security and compliance.
A free developer license is available so you can explore and get to know Rasa. It allows you to take your assistant live in production a limited capacity. A paid license is required for larger-scale production use, but all code is visible and can be customized as needed.
To get started right now, you can
pip install rasa-pro
Check out our
- Rasa Quickstart,
- Conversational AI with Language Models (CALM) conceptual rundown,
- Rasa tutorial, and
- Changelog
for more. Also feel free to reach out to us on the Rasa forum.
2 maintainers
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