Please enable JavaScript.

Coggle requires JavaScript to display documents.

RASA - Coggle Diagram

- - - - Understand the concepts of intents and entities, as well as their practical application in building assistants
      - Describe the components of the NLU pipeline, their purpose, and configuration
      - Demonstrate knowledge of best practices for designing training data
      - Describe the purpose and usage of lookup tables, synonyms, and retrieval actions.
  - - - ● Demonstrate knowledge of dialogue policy configuration and the function of individual policies.
      - ● Describe rules and stories, and identify the differences between them.
      - ● Describe how Rasa Open Source selects the assistant’s next action.
      - ● Demonstrate practical knowledge of form usage and fallback implementation.
  - - - ● Describe the purpose and format of the domain.yml file
      - ● Demonstrate understanding of slots and their practical usage in building assistants
      - ● Understand session configuration
      - ● Describe the usage of response templates
  - - - ● Demonstrate understanding of implementing custom actions in a Rasa assistant.
      - ● Describe using custom actions to customize form behavior
      - ● Describe the setup and configuration of an action server
      - ● Identify the built-in behaviors of forms and slots
      - ● Describe the function of default Rasa actions
      - ● Describe the configuration of channel connectors and local testing methods
  - - - ● Describe the supported deployment methods for launching a Rasa assistant in production
      - ● Describe the testing commands built into Rasa Open Source
      - ● Demonstrate how to incorporate automated tests into a CI/CD pipeline
      - ● Demonstrate practical knowledge of troubleshooting issues surfaced by testing
      - ● Describe the process of moving an assistant from local development to a production server, and tools used to deploy
  - - - ● Describe the 6 steps of conversation-driven development
      - ● Demonstrate understanding of Rasa X usage and workflows
      - ● Demonstrate knowledge of best practices for sourcing and maintaining training data and conducting user tests
- - - - Share your assistant with users as soon as possible
      - Review conversations on a regular basis
      - Annotate messages and use them as NLU training data
      - Test that your assistant always behaves as you expect
      - Track when your assistant fails and measure its performance over time
      - Fix how your assistant handles unsuccessful conversations