If you sprinkle in a bit of infrastructure, I think we're already there. The ability to distill a variety of content into vectors and perform approximate nearest neighbor search (shameless plug: https://milvus.io) across all of them can really help power a lot of these applications. With the retrieved vectors, you could match questions with answers or create a reverse index to the original content to perform summarization.

With that being said, one of the main challenges ahead will be multimodal learning. We're sort-of there combining text with visual data, but there are many other modalities out there as well.