TAG ARCHIVE

knowledge-graphs

1 MARIA OS blog articles tagged knowledge-graphs, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

IntelligenceFebruary 12, 202648 min read

Graph RAG for Causal Structure Extraction: Matrix Methods for Multi-Hop Retrieval with Evidence Cohesion

How organizational knowledge graphs enable responsibility chain tracing and risk concentration detection

Standard RAG often retrieves flat document chunks that under-represent relational structure needed for causal and responsibility reasoning. Graph RAG models documents and entities as nodes in an adjacency matrix, enabling multi-hop retrieval along causal paths in organizational knowledge. We formalize an h-hop diffusion score, derive hop-depth choices from a noise-accuracy tradeoff, and introduce an evidence-cohesion metric that gates response generation by subgraph density. In contract-corpus evaluations, the method reported 73.4% causal-path extraction accuracy at 3 hops, a 31% improvement over flat Top-k RAG for responsibility-chain identification, and `r = 0.87` correlation between cohesion score and response correctness.

graph-ragcausal-inferenceknowledge-graphsmatrix-methodsevidence-cohesionmulti-hop