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Rasa

Rasa is an open-core Conversational AI platform that leverages gen AI for business-logic driven chatbots andvirtual assistants for enterprises.

Rasa is a state-of-the-art, open-core Conversational AI framework designed for enterprises seeking to create advanced chatbots and virtual assistants. It combines the power of generative AI with robust business logic to deliver nuanced, context-aware conversations.

Rasa Key Features

  • Generative AI Integration: Natively leverages generative AI for effortless assistant development.
  • Business Logic Adherence: Ensures conversations follow predefined business rules safely and predictably.
  • Flexible Deployment: Offers choice in deployment environment to suit enterprise needs.
  • Enterprise-Grade Security: Built with a focus on meeting stringent enterprise security requirements.
  • Advanced Observability: Provides tools for monitoring and analyzing conversational AI performance.
  • Scalability: Designed to handle enterprise-scale conversational needs efficiently.
  • Open-Core Model: Combines the benefits of open-source with enterprise-specific features.

Rasa Use Cases

  • Customer Service Automation: Create sophisticated chatbots for handling customer inquiries and support.
  • Enterprise Virtual Assistants: Develop AI assistants for internal enterprise use, improving employee productivity.
  • Conversational Marketing: Build interactive marketing experiences through AI-driven conversations.
  • Process Automation: Automate complex business processes through conversational interfaces.
  • Multilingual Support: Develop assistants capable of communicating in multiple languages.

Rasa Pro, the enterprise offering, is tailored for organizations that require a robust, secure, and scalable conversational AI solution. It enables businesses to create deeply nuanced conversations with end customers while maintaining control over the deployment environment and ensuring compliance with business rules.

The platform's emphasis on combining generative AI capabilities with strict business logic adherence makes it particularly suitable for industries with complex regulatory requirements or those needing highly customized conversational flows.

By offering an open-core model, Rasa provides the flexibility of open-source development while delivering enterprise-specific features necessary for large-scale deployments. This approach allows businesses to benefit from community-driven innovation while ensuring their specific needs for security, observability, and scalability are met.

Rasa

GitHub Stars

18790

Forks

4622

Open Issues

124

Latest Release

3.6.20

Open Source Alternative To

Languages

Python99.3%
Other0.7%
LicenseApache License 2.0
Last Updated7 months ago