Structured Context Retrieval treats retrieval as an assembly problem rather than a similarity-search problem. Where vector retrieval returns semantically near passages and discards the relationships between them, SCR preserves the graph structure — entities, predicates, and provenance — so downstream operations can be precise and deterministic rather than probabilistic.
The result is context an AI system can reason over and verify, not merely paraphrase — the foundation for grounded, auditable output.