# define distance metric (other options: manhattan, chebyshev)
dist = DistanceMetric.get_metric('euclidean')

# compute pair-wise distances between query embedding and resume embeddings
dist_arr = 
  dist.pairwise(embedding_arr, query_embedding.reshape(1, -1)).flatten()
# sort results
idist_arr_sorted = np.argsort(dist_arr)