Thank you for the feedback 
I’m planning to have each vector stored with metadata having user info (e.g. its id)
I would need to compare a group of user tags or interests with all other vectors and get the user with most similar tags (example: querying [“cars”,“races”, “f1”] the first result should be a hypothetical user with tags [“nascar”,“drag race”,“motors”,“drifting”].
Taking into account your response, I think a good approach could be taking the average of all vectors and perform the query.
I’ve tried performing a query for each vector, but the approach is quite bad attending to loading times.
I’ll go with the vectors average for now
Thank you!