from gensim.models.keyedvectors import WordEmbeddingsKeyedVectors
vector_length = 100
kv = WordEmbeddingsKeyedVectors(vector_length)
# wordList - list of words
# vectorList - list of the vector corresponding to the words
kv.add(wordList, vectorList)
kv.most_similar(word1) # gives the list of words similar to word1