Matryoshka Embeddings sort information by importance in their vector, so they can be truncated to perform quicker, although less pinpoint comparisons.

This allows for cheaper and quicker tasks performed over this data.

They way to train Matryoshka models is called Matryoshka Representation Learning

2024 12 30 03 42 50 - 🪆 Introduction to Matryoshka Embedding Models