Matryoshka-Adaptor

New DIVE method compresses LLM embeddings for efficient vector search

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. DIVE employs a self-limiting tripl…