# Bag of words and word2vec clarifications

I have documents, and I calculated the word vectors using word2vec for all the terms in my corpus.

Now I want to compute similarity between documents using the bag-of-words model. After creating the Bag-of-words ( consisting of vector representations).

how do I now compute similarity between a sequence of vectors?

Do I simply just take the mean? and calculate the cosine similarity between the mean vectors?

or is there a better approach for computing similarity between two bags?