Matryoshka-Adaptor

DIVE method compresses LLM embeddings, improving vector search efficiency

Researchers have developed DIVE, a new method for compressing high-dimensional embeddings from large language models to reduce storage and computational costs in vector search systems. Unlike previous methods that overf…