AI21 Labs researcher Yuval Belfer demonstrated that static chunking degrades retrieval recall by up to 40 percent because chunk requirements vary by query. His multiscale indexing technique indexes data at several sizes simultaneously, boosting retrieval accuracy with negligible latency impact.