The embodiment of the invention provides a high-dimensional vector search method for a target database, communication between a high-dimensional auxiliary process integrated and packaged with a high-dimensional vector search library and the target database is realized through a shared memory, when high-dimensional vector search needs to be performed, search is performed through the high-dimensional auxiliary process, and the search efficiency is improved. Due to integration and packaging in the high-dimensional auxiliary process, the high-dimensional vector searching capability of the high-dimensional vector searching library can be fully utilized, the high-dimensional vector searching speed in the target database can be improved, low-dimensional vector searching or high-dimensional vector searching can be flexibly carried out, and the high-dimensional vector searching efficiency can be improved by expanding the high-dimensional vector searching function of the target database. Therefore, the original database query function and the high-dimensional vector search function of the target database are combined, the vector search efficiency is improved, and the development cost is reduced.