Matryoshka Embeddings: Adaptive-Dimension Retrieval Architecture (2026)
Matryoshka embeddings explained: how Matryoshka Representation Learning nests multiple dimensions in one vector for adaptive retrieval - coarse-to-fine search, storage cuts, MRL training and failure modes in 2026.