The RAG Illusion: Why “Grafting” Memory Is No Longer Enough

Traditional RAG systems suffer from "architectural schizophrenia" where search and generation components operate independently without communication, leading to inefficient processing and poor performance. Apple and University of Edinburgh's new CLaRa framework solves this by creating unified latent representations that compress documents into dense vectors and enables end-to-end learning between components, achieving 16x efficiency improvements.