Graph RAG generates a graph from text at indexing time; a pure knowledge graph is a curated source of truth. For regulators, that distinction is material: one is auditable, the other is probabilistic.
Compliance turnover is a compliance risk: when a KYC analyst or loan processor leaves, their unwritten process logic leaves with them. Five tools rated on whether they actually retain it.
Enterprise brain platforms index knowledge; workflow platforms execute processes. Banks and insurers need both, and this piece shows which vendors span the gap for KYC, underwriting, and compliance.
RAG matches meaning but hallucinates. Knowledge graphs are precise but expensive and brittle. Deterministic workflows are the compliance-first architecture, and this piece maps each to the use cases where it wins.
KYC and AML need two database types: vector search catches reused fraud templates, graph traversal maps beneficial ownership. Relying on one creates compliance gaps examiners will find.
What actually preserves corporate memory in a regulated firm? Neo4j, Confluence, Azure Doc AI, Onyx, and Jinba scored on auditability, RBAC, and on-prem deployment.
Five named, reusable pipeline patterns that combine a vector store, a graph database, and deterministic orchestration for regulated document workflows, from KYC entity resolution to prior authorization.
Jinba, Kestra, FlowX.AI, VDF AI, Go.AI, Glean, and Power Automate ranked for regulated enterprises on audit logging, on-prem deployment, RBAC, and deterministic execution.
Banks don't need a new stack to build a company brain. They need an orchestration layer above KYC, loan origination, and document systems that governs the tribal knowledge already there.