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Relational Reasoning
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- Article · AI Agents
From Flat Features to Connected Insights: Graph RAG-Powered Credit Scoring vs. Traditional ML
By leveraging LangGraph, we created a system where the Graph Traversal Agent maps the structural landscape, the RAG Agent provides the regulatory and historical context, and the Synthesis Agent delivers a decision that is both mathematically grounded in graph theory and explainable through natural language. This architecture ensures that enterprises can detect sophisticated synthetic identity fraud rings that would otherwise slip through the cracks of flat, tabular data pipelines.
