Conceptual path finding in high-dimensional embedding space via Grassmann manifold geometry. Replaces cosine similarity with tangent space distance — paths follow domain-coherent lanes instead of converging to vocabulary hubs. GPU-accelerated Julia compute worker
julia julia-language semantic-search manifold-learning amdgpu high-dimensional principal-angles tangent-space grassmann-manifold graph-topology gpu-compute embedding-similarity retrieval-metrics grassmann-distance conceptual-paths kernel-abstractions local-pca
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Updated
May 10, 2026 - Julia