Matryoshka Vector Embeddings: Flexible Embeddings for Cost-Efficient AI Systems

Matryoshka vector embeddings let teams flexibly reduce embedding dimensionality (for example from 768 to 256 dimensions) while preserving semantic meaning, optimizing retrieval systems for cost and latency without swapping models.