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Rasa

Open source conversational AI framework for building contextual assistants

⭐⭐⭐⭐ 8/10
Free (Enterprise: custom pricing)
open-source
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What is Rasa?

Rasa is a leading open source framework for building contextual AI assistants and chatbots with complete control over your data and models. Unlike cloud-based platforms, Rasa can be deployed entirely on-premises, making it ideal for organizations with strict data privacy requirements. The framework consists of Rasa NLU for natural language understanding and Rasa Core for dialogue management. Rasa's machine learning models can be trained on your specific use cases and domain language, providing better accuracy than general-purpose solutions. The platform supports complex conversational flows with context awareness, custom actions for business logic integration, and forms for collecting structured information. Rasa Pro adds enterprise features like enterprise-grade support, analytics, and conversation-driven development tools. With a large open source community, extensive documentation, and flexibility to customize every aspect of the AI, Rasa serves developers and enterprises who need full control over their conversational AI infrastructure.

✨ Key Features

  • Open source framework
  • On-premises deployment
  • Custom NLU training
  • Context-aware dialogues
  • Custom actions
  • Form handling
  • Multi-language support
  • Model customization
  • Active learning
  • Analytics (Pro)

🎯 Use Cases

  • Custom chatbot development
  • On-premises AI
  • Regulated industries
  • Domain-specific bots
  • Enterprise automation
  • Research and development
  • Data privacy compliance
  • Complex conversation flows

🔄 Alternatives to Rasa

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