It’s a browser-based GUI tool that will allow you to train a Machine Learning model by using GUI-based interactive mode. It is a tool for Conversation-Driven Development (CDD), the method of listening to your user’s requirements or queries and then further using those insights to reinforce your AI assistant. It can predict dialogue as a reply based on User messages and can trigger Rasa Action Server. This is the place where Rasa tries to help you with contextual message flow. Rasa NLU has different components for recognizing intents and entities of user messages, most of which have some additional dependencies. Ready-to-deploy Docker containers and orchestration to run Rasa on-prem, or via a preferred cloud provider.Īt this place, rasa tries to understand User messages to detect Intent and Entity in your message. Integrate with automated testing and CI/CD. Track and manage your models promote to production or easily rollback. Leverage conversation-driven developmentīuild customer-centred virtual assistants by incorporating user insights and engineering best practices into every part of your team’s workflow.Connect with knowledge bases, content management systems, and CRMs. Use Rasa’s custom actions to interact with APIs, databases, and other systems. Serve multiple channels with a single assistant. ![]() Run your assistant on Slack, Facebook, Google Home, IVR, custom channels, and more.
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