Knowledge Graph

Node Graph

Visual graph interface showing entities, concepts, and sources as connected, navigable nodes.

Node Graph

The visual interface for navigating your Knowledge Graph — entities, concepts, and sources displayed as connected nodes with typed relationships. Zoom, filter, and drill into any node to explore its connections.


Core Capabilities

Visual Typed Explorable
Interactive graph with zoom, pan, and filter — knowledge as a navigable spatial map. Node colouring by entity type and edge rendering by relationship type. Drill into any node to centre and expand its neighbourhood.

The Problem We Solve

"Lists and search are linear — knowledge is a graph"

Lists show you what you have. Graphs show you how it connects. The Node Graph reveals structural patterns, conceptual clusters, and bridging ideas that linear navigation hides.

"I can see individual relationships but not the shape of my knowledge"

Knowing that A references B and B references C doesn't show you the full picture. The Node Graph renders the complete topology — hubs, clusters, bridges, and isolates — so you can see the shape of what you know.

"I can't find the bridge between two research areas"

Two clusters of knowledge might be connected through a single entity or concept. The Node Graph makes these bridge nodes visually obvious — they sit between clusters with edges spanning both.


How It Works

  1. Render — The graph materialises from your corpus: entities, concepts, sources, and extracted outputs as nodes, with relationships as edges
  2. Colour — Nodes are automatically coloured by type: people, concepts, sources, extractions, topic clusters
  3. Layout — Force-directed layout positions related nodes near each other, with cluster regions emerging naturally
  4. Filter — Show or hide node types, relationship types, or time-based slices to focus the view
  5. Drill — Click any node to centre the view and expand its immediate neighbourhood
  6. Search — Find nodes by name, type, or connection pattern directly within the graph

What We Deliver

  • Interactive graph visualisation with smooth zoom, pan, and filter controls
  • Node colouring by entity type — people, concepts, sources, extractions, clusters
  • Edge rendering by relationship type — references, extends, contradicts, derives-from
  • Drill-down navigation — click any node to centre and expand its neighbourhood
  • Graph search — find nodes by name, type, or connection pattern
  • Time-based filtering to see how the graph evolved
  • Cluster highlighting to see thematic regions at a glance
  • Export graph views as images for presentations and publications

Integration with Other Features

  • Entity Links — Every entity link in the corpus appears as an edge on the graph
  • Topic Clusters — Clusters are visible as regions on the graph layout
  • Evidence Panel — Navigate from graph nodes to source evidence
  • Source Browser — Click any source node to view with full context

Related


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