 In a nutshell, training the algorithm to produce a low-dimensional binary code, then all database entries could be stored in a hash table mapping binary code vectors to entries.This table would then allow to perform information retrieval by returning all entries with the same binary code as the query, or slightly less similar entries by flipping some bits from the encoding of the query.Another field of application for autoencoders is anomaly detection.