Building a recommendation system with a graph database

When I'm reading about building recommendation systems with collaborative filtering and they generally don't talk about graph databases like neo4j. Are graph databases enough to implement the best recommendation systems?

It seems like they can implement realtime recommendations easier than the methods mentioned here: https://eugeneyan.com/writing/real-time-recommendations/

Any weaknesses I should be aware of?