Show HN: Semantic atlas of 188 constitutions in 3D (30k articles, embeddings)

World Map

Select constitutional systems on the map

Click any country with data to load its semantic points. Drag to pan and use the zoom controls for regional comparisons.

No countries selectedHover a country to see its availability.

Control Panel

Build comparison sets quickly

Presets are additive. The country list can be filtered by name and re-ordered for broad or focused exploration.

Selected

0

Countries

189

Clusters

509

Presets

No countries selected yet.

UNIFIED SEARCH

KEYWORD SEARCH

Search terms

Select one or more countries to restrict the search.

Run a search to see ranked article matches.

SEMANTIC SEARCH

Search concepts or ideas

Queries may be written in any language, but English usually works best against this corpus.

Select one or more countries to restrict retrieval.

Run a semantic search to inspect semantically nearby constitutional articles.

3D Semantic Space

Navigate the semantic cluster field

0 visible points from 0 loaded segments.

Country Stats

Semantic coverage by selected country

Select countries on the map or from the control panel to inspect their metrics.

Reading Guide

How to read the visualization

What You Are Seeing

Each point in the 3D view represents a constitutional article or other meaningful legal unit. Nearby points are not nearby because they come from the same country, but because the language of those passages is semantically similar. Use country selection to compare how different constitutions occupy the same semantic terrain.

The map and the country list are selection tools. They decide which constitutions are loaded into the scene. Selecting more countries does not change the geometry of the embedding itself; it changes which parts of that global semantic space you can inspect.

Semantic Space

The embedding turns legal text into vectors, and the clustering step groups vectors that tend to discuss related constitutional themes. In country mode, color shows political origin. In cluster mode, color shows thematic neighborhood.

Large, dense clouds usually indicate recurring constitutional ideas such as rights, institutions, emergency powers, elections, or amendment rules. Isolated points often mark unusual provisions, rare wording, or country-specific constitutional design choices.

The platform offers two types of search: keyword search finds literal term occurrences, while semantic search retrieves conceptually nearby passages even without matching terms. Search results highlight regions of the semantic space in the 3D canvas, linking what you read to where it sits.

How to Read the Metrics

In the country statistics, Coverage measures how much of the global cluster landscape a constitution reaches. Entropy measures how evenly its segments are distributed across that landscape: high entropy suggests a broader semantic spread, while low entropy suggests concentration in fewer themes.

In the article detail panel, Global Cluster is the identifier of the thematic group assigned to that segment in the worldwide clustering. When the value is -1, it means the segment was left outside the defined thematic groupings in that global step. Probability indicates how confidently the clustering model placed that segment in that group: higher values mean a cleaner fit, while lower values usually mark more ambiguous or boundary cases.