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Knowledge Graph

Connect your nodes together to build a navigable web of linked ideas.

🔗 What Are Relationships?

A relationship is a directed link between two nodes that captures how they connect.

Each relationship stores:

🌈 Color-Coded Relationship Types

Every relationship type has a unique color and icon, visible in the detail view and on the map.

Auto-Detected Relationships

Manual Relationships

🔧 Creating a Relationship

Link two nodes in a few taps.

1

Open a Node

Tap any node card to open its detail view.

2

Tap the Link Button

In the toolbar, tap the link.badge.plus icon to open the relationship picker.

3

Pick a Target Node

A searchable list shows all other nodes in your graph. Select the one you want to connect.

4

Choose a Relationship Type

Each type shows its icon, color, name, and a short description. Tap to select, then tap Add.

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Tip: Relationships are directed. “A expands on B” is different from “B expands on A.” Create links in both directions if the connection is bidirectional.

✏️ Editing Relationships

Change a relationship type at any time without deleting and recreating it.

Inline Type Change

In the Relationships section of a node detail view, tap the pencil circle icon next to any connection. A menu appears with all 11 relationship types. Select a new type and the badge updates instantly with the new color and icon.

Removing a Relationship

Tap the × button next to a connected node to delete that relationship. The connected node itself is not affected.

🗺️ Map View

Visualize your graph as a force-directed network.

Color-Coded Edges

Every connection line on the map is colored to match its relationship type. Purple lines mean semantic similarity, red means contradiction, green means expansion, and so on. This makes patterns instantly visible.

Edge Legend

The toolbar shows colored dots representing each active relationship type in your graph. Tap the legend to see a full breakdown with counts for each type.

Interacting with the Map

💡 Building a Strong Graph

Tips for making your knowledge graph more useful over time.