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- Article · AI Agents
RAG-Powered Credit Scoring vs. Traditional ML
The transition from traditional feature-based ML pipelines to RAG-powered multi-agent workflows marks a critical evolution in Fintech credit scoring. While traditional models are fast and mathematically rigorous, they are inherently blind to context. By integrating LangGraph, we created a system where the Financial Agent handles the math, the RAG Agent provides the real-world context, and the Underwriting Agent synthesizes both.
