Start with the work to be done
A graph visualization can look impressive while leaving a user unsure what to do next. GraphRAG research investigates using relationships to answer questions over collections, and G-Retriever combines textual answers with relevant graph portions. These studies suggest a useful product starting point: identify a question that requires connected evidence, then expose the relationships needed to answer it. Building a large network first does not establish that the network improves the organization's everyday work.
Use a bounded business example
Consider a reviewer asking which acceptance requirements depend on a supplier's latest specification. The useful graph connects the specification version, cited requirements, affected work packages and supporting evidence. It does not need to show every person and document in the organization. In the ABOLTUS research direction, the graph should make that dependency chain easier to inspect than a series of unrelated search results. Each edge should retain its source basis so the visual path can be challenged rather than accepted because it appears coherent.
Compare against simpler navigation
An evaluation should compare the graph-assisted workflow with ordinary search and a clear list of linked documents. Reviewers can assess whether the graph reduces missed dependencies, improves explanation or merely adds navigation steps. Some questions are better answered by a table or a direct source link. The relevant research demonstrates possible graph-based approaches, not a universal reason to use them. A useful graph earns its place by improving a specific evidence task and by keeping the connections understandable to the person responsible for the decision.