To the people dismissing the idea of binarising vectors: Fair criticism, but consider the fact that you can also train a model with a loss function that approaches a binary behaviour, i.e. so that the magnitude per dimension plays an insignificant role and only the sign of the dimension carries information. In that case you can use the binary vector for search and ranking.