I'm building this, for (mostly) non-scientific non-fiction works (books, articles, news, etc.). Launching soon, with about 7,500 books indexed.
Generally, what I found useful to build a graph between "topics" or entities was to use a HyDE[1] prompt to generate possible distinct definitions and then build a nearest-neighbor network from that. This successfully identifies related concepts in the truly abstract sense rather than literal entities.
Generally, what I found useful to build a graph between "topics" or entities was to use a HyDE[1] prompt to generate possible distinct definitions and then build a nearest-neighbor network from that. This successfully identifies related concepts in the truly abstract sense rather than literal entities.
[1] https://summarity.com/hyde