# Match `query` vector to all index document vectors
	#
	# Returns an `IndexMatch` for each indexed document.
	# Results are ordered by descending similarity.
	fun match_vector(query: Vector): Array[IndexMatch[DOC]] do
		var documents = new HashSet[DOC]
		for term, count in query do
			if inversed_index.has_key(term) then
				documents.add_all inversed_index[term]
			end
		end
		var matches = new Array[IndexMatch[DOC]]
		for doc in documents do
			var sim = query.cosine_similarity(doc.tfidf)
			if sim == 0.0 then continue
			matches.add new IndexMatch[DOC](doc, sim)
		end
		sorter.sort(matches)
		return matches
	end