Engineering Knowledge Graph — An engineering knowledge graph is a structured network of an organization's software artifacts and their real relationships — requirements, architecture, work orders, code, feedback, and people — so questions like 'what depends on this?' or 'why does this exist?' can be answered by traversal rather than tribal knowledge.
Where documents describe things in prose, a knowledge graph encodes relationships as first-class, queryable edges: this requirement is satisfied by that blueprint; this work order produced that commit; this feedback triggered that change. Because the edges are real, the graph stays connected to reality.
An engineering knowledge graph is the technical substrate of engineering memory and the source of derived signals like blast radius (traverse dependents) and traceability (follow intent to code).
Skaftor writes a graph edge for every cross-entity link, so the knowledge graph is generated from actual work rather than maintained by hand.
A wiki stores prose people must write and keep current. A knowledge graph stores typed relationships between real artifacts, generated from the work itself, so it's queryable and stays connected to what actually shipped.
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Last updated July 28, 2026 · https://skaftor.com/glossary/engineering-knowledge-graph