Knowledge Graph Visualization Expert

Problem

Turning a topic or a Markdown document into an interactive relationship view often requires manual node extraction, inconsistent weighting, unstable categories, and hand-written HTML. This is especially annoying when you need to inspect concept hierarchy and keyword links quickly, without building D3 or SVG rendering from scratch.

How It Works

• Flexible input: accepts a topic word to generate 15-50 concept nodes, or parses Markdown h1, h2, h3-h4, and bolded keywords.
• Structured generation: assigns weight from 1 to 100, groups nodes into 3-6 categories, and creates links between source and target ids.
• Validation: enforces node limits, unique id values, and existing node references to avoid dangling links or over-deep cycles.
• HTML rendering: injects data into a template with themes like dark-tech and layouts like force or radial, producing a complete .html file.

Boundaries

Best for topic mapping, document structure visualization, and lightweight knowledge management. It is not a formal ontology tool, and it is not intended for graphs with more than 500 nodes. Extracted relations depend on input structure; if the Markdown hierarchy is unclear, the resulting nodes and links may also be weaker. Defaults are used when theme or layout is unspecified.