We’re experimenting with different ways of summarising information visually.
This a simple one where we get ‘named entities’, group and lay them out as a tree.
(other categories can be added of course based on anything that an LLM can produce)
To me at least there are couple of interesting things in this space:
pagination (done!), sorting, filtering, (re-) moving of the nodes
bidirectional connection to the source (e.g. navigating to a particular mention in the parent block,) and canvas (drag and drop of the nodes to expand on canvas)—cf. the video
multiple sources + analysis & comparison
- e.g. a graph that answers the question of what are some common themes, ideas, entities in two pieces of information (e.g. a video lecture and a webpage)
tools for extending the graph
by generative AI
by custom/manual annotations
I would of course be very grateful for comments on any of the above 🙏
Wonderful weekend to you all 🍹