SASH is expected to perform well when the number of dimensions is large, since FLANN and NGT perform worse as the number of dimensions becomes larger.
nGT would be a better choice since most existing pre-trained embeddings (Turian et al., 2010;Mikolov, 2013;Pennington et al., 2014a) have a few hundred dimensions.