A Model is the virtual containers that KnowledgeKube uses to represent whole or partial applications. Not only does a model hold individual pages of content, but they also contain any additional configurations that expand the utility of your application, such as letting it connect to an external data source.
A list of models in the current KnowledgeKube repository can be found in the Your Models tab, which will always appear in the tab bar at the top of the KnowledgeKube interface.
To learn how to create and maintain models, refer to the following topics:
| Description | Further Reading |
|---|---|
| Create a brand new model from scratch. | Creating a Blank Model |
| Create a new model based on an existing template, letting you recreate the content of the template before changing them as needed. | Creating a Model from a Template |
| Edit the properties of an existing model. | Editing a Model's Properties |
| Copy a model and all of its content. | Copying a Model |
| Delete a model from the repository. | Deleting a Model |
Once a model has been created it can hold different types of content. For more information about these types, refer to the following topics:
| Description | Further Reading |
|---|---|
| Question groups are containers that hold all of your model's content. | Creating a Question Group |
| Include elements like Expressions, Variables, Actions and Scheduled Tasks to your model to add a level of automation to your model. | Model Automation |
| Adding Attributes to a model lets you alter the appearance or behaviour of it. | Applying Model Attributes |
| Store large amounts of complex data using Data Sources by creating a connection to a data source within your KnowledgeKube model. | Using Structured Data |
| There are additional elements within the tool that let a model interact with Supplemental Content, enhancing the information it is able to collect and provide. | Supplemental Content |