Relationship Discovery
AI discovers relationships between knowledge items by analyzing shared entities, overlapping topics, semantic similarity, and temporal proximity. Connections surface automatically without manual linking.
How it works
After enrichment, the relationship engine analyzes every item against the full knowledge base. It finds connections through multiple signals: shared people or places mentioned, overlapping topic clusters, semantic similarity in content meaning, and temporal proximity for events. Each discovered relationship is scored by strength and type, visible in the knowledge graph.
Relationship panel showing discovered connections between items
Why it matters
The most valuable insights often come from unexpected connections. A project note from January might relate to a research paper from March in ways you would not notice manually. Relationship discovery surfaces these connections automatically, helping you see the bigger picture and find relevant context you did not know existed.
Knowledge graph highlighting newly discovered relationship