The typical integration approach I’ve seen is to use a separate query rewriting service that then either filter the Solr query to the preferred categories / attributes or boosts the results that match on that subquery. If you’re using a machine-learned ranking approach, then you can use the output of the query tagger as input — that’s especially useful if you want to manage tags that vary in confidence.