Rasa

What is Rasa?

Rasa is the leading open-source framework for building production-grade conversational AI assistants. Unlike SaaS chatbot platforms, Rasa gives development teams full control over their AI models, data, and infrastructure, making it the go-to choice for enterprises with strict data privacy requirements or complex conversational needs.

The framework consists of Rasa Open Source for NLU and dialog management, and Rasa Pro which adds enterprise features like analytics, security, and scalability. Rasa supports custom machine learning pipelines, allowing teams to train models on their domain-specific data for superior accuracy compared to generic AI platforms.

Rasa has been adopted by major enterprises including Deutsche Telekom, Adobe, and BMW for customer-facing and internal AI assistants. Its CALM (Conversational AI with Language Models) approach combines the reliability of structured dialog with the flexibility of large language models, delivering assistants that are both accurate and conversational.

Key Features

• Open-source NLU and dialog management engine
• CALM framework combining LLMs with structured dialog
• Custom ML pipeline for domain-specific training
• Full data ownership and on-premise deployment
• Multi-turn conversation management
• Entity extraction and slot filling
• Integration with any LLM provider
• Conversation analytics and testing tools
• Channel connectors (web, Slack, Teams, WhatsApp)
• Enterprise security with SSO and RBAC

Pros & Cons

Pricing

Model: Freemium

Frequently Asked Questions

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