Rasa
Open source machine learning framework for building contextual text- and voice-based chatbots and assistants.
What is Rasa?
Rasa is an open-source machine learning framework for building contextual AI assistants and chatbots. It automates text- and voice-based conversations by combining natural language understanding (NLU) with dialogue management, enabling systems that handle complex, multi-turn interactions. The framework connects to various messaging platforms and allows for custom channel integrations.
Developers and engineers building production-grade conversational AI agents for customer support, virtual assistants, or interactive applications across platforms like Slack, Facebook Messenger, or custom interfaces.
Developers choose Rasa for its open-source flexibility, strong contextual dialogue management, and ability to handle layered conversations without relying on rigid decision trees. It provides a machine learning-based approach that can be customized and self-hosted, unlike many proprietary chatbot platforms.
Overview
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Use Cases
Best For
- Building customer support chatbots with complex dialogue flows
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