Standard search systems often struggle to rank information correctly because they don't understand how different concepts and entities are actually connected. This makes it hard to find the most relevant answer when a query involves complex relationships.
It takes a set of questions and documents and reorders them by looking at how the entities within those documents relate to one another in a map. It uses these connections to rank the most relevant answers more accurately.
It improves the accuracy of information retrieval by considering the underlying relationships between concepts rather than just matching keywords.
It was run in the sandbox and it failed. run produced no meaningful output (empty or near-empty).
No screenshot — there is nothing working to show. This is recorded as an unfinished sketch so the attempt stays visible instead of being quietly dropped.