How do graph databases and vector databases such as Pinecone enable unique user experiences?

Graph databases and vector databases are both databases, but I don't think they're that similar at the end of the day.

Graph databases are more for describing structured data in a semantic way, whereas vector databases are when you compress unstructured data into numerical representations you can then query later with other unstructured data.

You can ask, like, "What does this image remind me of?" or "How is it similar to other images in this database?" or "How is this text similar to other texts in the database?"

The rise of AI that we've started seeing—especially last fall and winter when ChatGPT was released—was part of the catalyst for me stopping working on Athens. It seemed like these unstructured approaches to data capture and retrieval and all the other things, like summarization and all those facilities, just were going to leapfrog a lot of the ways people were using note-taking apps, which just felt so tedious and manual in comparison.