curating-library-kg

You can curate the library knowledge index for Simulink models to improve block selection by reviewing blocks, correcting auto-assigned categories, and updating descriptions to influence the AI agent's choices.

Library knowledge index curation in model-based design is the process of reviewing Simulink blocks to mark commonly used components, correct categories, and improve descriptions so AI agents can better select appropriate blocks.

You can mark specific Simulink blocks as commonly used by running the curation process, which allows you to review the library knowledge index and flag important blocks to ensure the AI agent prefers them during model-based design.

Yes, curating the library knowledge index requires access to the Simulink model and knowledge of the library structure to accurately review blocks, correct categories, and improve descriptions for the AI agent.

You can correct auto-assigned categories for blocks in Simulink by using the library knowledge index curation process, which allows you to manually review and adjust category assignments to improve block selection accuracy.

An AI agent may select wrong Simulink blocks if the library knowledge index has inaccurate categories or descriptions, which you can resolve by curating the index to mark common blocks and improve descriptions.