doc2vec: any way to fetch closest matching terms for a given vector?

Question

The use-case I have is to have a collection of "upvoted" documents and "downvoted" documents and using those to re-order a set of results in a search.

I am using gensim doc2vec and am able to run the most_similar queries for word(s) and fetch matching words. But how would I be able to fetch the matching keywords given a vector fetched by a vector sum of the above doc vectors?

Answer 1

Ohh silly me, I found the answer staring right in my face, posting here in case anyone else has the issue:

similar_by_vector(vector, topn=10, restrict_vocab=None)

This is however found not in the Doc2Vec class, but in the KeyedVector class.