This application relates to a large-
scale model session method, apparatus,
computer device, and storage medium. The method includes: utilizing a first search result generated in the previous search cycle based on a slow search method, and combining it with a second search result generated in the current search cycle based on a fast search method, to quickly determine a target search vector with high accuracy; using the high-accuracy first search result generated in the previous search cycle based on a slow search method, filtering out irrelevant
noise in the second search result generated in the current search cycle based on a fast search method, to obtain a target search vector with high timeliness and accuracy. The target search vector is the vector corresponding to the memory search result, thereby achieving memory retrieval that is both reliable and accurate.