vector-hyperbolic
ruvnet/ruflo
This skill enables the embedding of hierarchical datasets, such as dependency trees, ontologies, and module structures, into the Poincare ball model. Hyperbolic space is uniquely suited for capturing deep, non-linear relationships, allowing the preserved geodesic distance to accurately reflect structural depth and similarity within a hierarchy. Ideal for analyzing code architecture, complex knowledge graphs, and taxonomy.
