MRL

Introduction to Matryoshka Embedding Models

This Hugging Face blog post introduces Matryoshka Representation Learning (MRL), a technique for training embedding models that encode information at multiple granularities within a single vector. The approach allows truncating embeddings to smaller dimensions without significant loss in retrieval quality, enabling flexible trade-offs between storage/compute costs and accuracy. The post covers training, evaluation, and practical usage of Matryoshka embedding models via the Sentence Transformers library.