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Graph Visualization Guide

One of Cognee’s most powerful features is its ability to visualize knowledge graphs. This guide explains how to generate, view, and interpret graph visualizations with default setting.

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Generating a Graph Visualization

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Understanding the Visualization

The graph visualization shows:

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Nodes

Nodes represent entities extracted from your content:
  • People: Individuals mentioned in your content (e.g., “Albert Einstein”)
  • Concepts: Abstract ideas or topics (e.g., “Theory of Relativity”)
  • Organizations: Companies, institutions, etc.
  • Locations: Places mentioned in your content
  • Events: Occurrences or happenings
  • Other entities: Various other types of information

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Edges

Edges (lines connecting nodes) represent relationships between entities:
  • The label on each edge describes the relationship (e.g., “developed”, “was born in”)
  • The direction of the relationship is indicated by the arrow

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Interacting with the Visualization

The visualization is interactive:
  • Zoom: Use the mouse wheel to zoom in and out
  • Pan: Click and drag to move around the graph
  • Select: Click on nodes to highlight their connections
  • Hover: Hover over nodes and edges to see more details
  • Rearrange: Drag nodes to rearrange the layout

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Example Interpretation

Let’s interpret a simple example:
  1. You add content about Albert Einstein
  2. The visualization shows:
    • A node for “Albert Einstein” (Person)
    • A node for “Germany” (Location)
    • A node for “Theory of Relativity” (Concept)
    • An edge from Einstein to Germany labeled “was born in”
    • An edge from Einstein to Theory of Relativity labeled “developed”
This visualization helps you understand how different pieces of information are connected in your knowledge graph.

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Troubleshooting

If you’re having trouble with the visualization:
  1. Empty graph: Make sure you’ve added content and run cognee.cognify() before generating the visualization
  2. File not found: Check the system folder path and ensure the file exists
  3. Browser security: Some browsers restrict opening local files; try using Firefox or Chrome
  4. Large graphs: For very large graphs, the visualization may be slow; try filtering to include only specific node types