I've trained a neural network that takes in images, and spits vectors out the other end which describe the image, such that similar images will have a very small euclidean distance between their vectors.

Now that I have that, I need a data structure to store these vectors in for fast near-duplicate retrieval. Any suggestions other than LSH? It doesn't appear that there are any existing database implementations.

Picture related, but not my project.