Managing Content in Studio

It is easy to manage content in Rasa Studio. You cab organize, and refine the data that powers your AI assistant.

Overview

Flow Management: Search and manage your conversational flows efficiently, ensuring a coherent dialogue structure.

Version Control: Track changes and maintain different versions of your content, allowing for easy updates and rollbacks.

Review Production Conversations: Analyze real user interactions to identify areas for improvement and refine your assistant's performance.

Annotate Messages: Label conversations to enhance your assistant's natural language understanding capabilities.

Manage NLU Data: Organize and edit intents, entities, and training examples to improve the accuracy of your assistant's responses.

For more detailed information, refer to the Rasa Studio documentation.