I was just playing with RAPTOR but I'm having trouble conceptualizing how RAPTOR based indexes could be updated long-term. Essentially, whenever you have new material, you would have to start summarizing the new material and on each round pull existing summarizations based on similarity and then do another round to summarize those summarizations. This will get very expensive and won't scale. Am I thinking this wrong?