Smart Tagging
AI analyzes your content and suggests relevant tags from your existing taxonomy or proposes new ones. Accept suggestions with a click or let auto-tagging handle it. Tags improve over time as the AI learns your preferences.
How it works
When content is processed, the AI analyzes its meaning and compares it against your existing tags. If existing tags match, they are suggested. If the content covers a topic not yet represented, new tags are proposed. You can configure auto-acceptance thresholds -- high-confidence tags are applied automatically while borderline suggestions wait for your approval.
Tag suggestions panel with confidence scores
Why it matters
Consistent tagging is essential for findability but tedious to maintain manually. Smart tagging ensures every item gets relevant tags without requiring manual effort. The AI maintains consistency across your knowledge base -- it knows that 'ML,' 'machine learning,' and 'deep learning' are related and applies tags accordingly.
Auto-tagged knowledge item with accepted and pending tag suggestions