MATH · IN · MODELS

Granite Embedding

IBM

Structures found in this family (2)

Platonic Representation Hypothesis, Linear Subspace

By model (1)

Granite-Embedding-278M-Multilingual · 278M
Platonic Representation Hypothesis, Linear Subspace

Observations (2)

mini-vec2vec aligns embedding models with a cheap orthogonal map
vec2vec learns a fully unpaired translation between six independently-trained text embedding models (gtr, clip, e5, gte, stella, granite), recovering cosine similarity up to 0.92 and top-1 retrieval accuracy up to 100% with no paired training data, and an ablation shows the explicit Gram-matrix-preservation (VSP) loss is causally necessary -- removing it alone collapses top-1 accuracy from 0.91 to 0.00

Papers

mini-vec2vec: Scaling Universal Geometry Alignment with Linear Transformations (2025), Harnessing the Universal Geometry of Embeddings (2026)