Flat retrieval works until the question depends on one document. Real enterprise archives are networks: an asset is linked to a passport, defect report, contract, installation act, and later maintenance. GraphRAG adds entities and relations so answers can move through that network.
Microsoft research shows that graph-based retrieval can improve comprehensiveness and diversity for global questions over large corpora.
Knovium applies this practically: the graph does not replace retrieval; it organizes evidence around assets, events, and decisions.
The practical value of this article is that it turns a research topic into an implementation checklist. Before a pilot, the team can see which data is ready, which documents need preparation, where manual labeling is useful, and which risks should be closed before the model is connected.
It is important to separate source-supported facts from product conclusions. The sources describe methods, limits, and metrics; Knovium applies them to enterprise archives with access rights, scan quality, domain terms, response latency, and accountability for wrong conclusions.