Using Content Labels to Organize and Find Knowledge

Content Labels provide a simple way to organize the knowledge inside your workspace.

Think of labels like a familiar folder structure. Workspace Administrators can create labels and organize them into a hierarchy that makes sense for their organization, making it easier for everyone to understand where information belongs.

For example, labels could represent topics such as Foundation or Plumbing.

The important difference is that you don't have to manually organize every piece of content. On3 AI can use your label structure and descriptions to help categorize content automatically.

Creating Your Label Structure

Workspace Administrators can build a hierarchy of labels to organize workspace knowledge.

When creating labels:

• Give each label a clear and recognizable name.
• Organize labels into a meaningful hierarchy.
• Provide a description explaining the type of information that belongs under each label.

The label description is especially important because On3 AI uses it to understand the meaning and purpose of the label.

The more descriptive and specific the label is, the more information On3 AI has available to determine which content belongs there.

Labeling Content with AI

Once your label structure and descriptions are in place, On3 AI can help organize your content.

Simply click Label with AI.

On3 AI analyzes:

• The content itself
• Your available labels
• The description provided for each label

It then determines which labels are the best match for the content.

This can be used to categorize:

• Documents
• Videos
• Images

Instead of manually reviewing and organizing every item, Label with AI helps automate the process while using the organizational structure your Workspace Administrator has already defined.

Why Label Descriptions Matter

Label descriptions give On3 AI additional context about how your organization thinks about its information.

For example, a label name alone may be broad. Adding a meaningful description helps explain exactly what type of content should be associated with that label.

More descriptive labels lead to more accurate AI classification.

Taking a little additional time when setting up the label structure can therefore save significant manual effort as more content is added to the workspace.

Finding Labeled Content in AskOn3

Labels aren't only useful for organizing the Library. Users can also use them directly when asking questions in AskOn3.

Simply type @ followed by the label you want to search.

For example:

• @Foundation
• @Plumbing

Using an @ mention focuses the AskOn3 search on information associated with that label.

This gives users a familiar and simple way to narrow their search when they already know the general topic they are looking for.

Using Labels with Your Questions

The label becomes part of the natural AskOn3 experience.

For example, instead of searching broadly, a user can reference a label while asking their question:

@Foundation What should I check first?

or

@Plumbing What do I need before inspection?

The @ label helps focus the search on the most relevant area of your workspace knowledge while still allowing users to ask questions naturally.

Key Takeaways

• Content Labels create a simple, folder-like structure for organizing knowledge.
• Workspace Administrators define the label hierarchy and descriptions.
• Clear descriptions help On3 AI understand what information belongs under each label.
• Label with AI automatically analyzes content and determines the best matching labels.
• Labels can organize documents, videos, and images.
• Users can type @ followed by a label in AskOn3 to focus their search.
• Better organization makes trusted information easier to discover without requiring users to know exactly where the original content is stored.