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Building an Agentic Fraud Investigation System with TigerGraph, LangGraph & MCP

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

TL;DR : We built a 9-node LangGraph agent that investigates fraud cases end-to-end. It uses TigerGraph Community Edition as the knowledge graph substrate, TigerGraph MCP for tool access, and NVIDIA NIM for LLM reasoning. It produced FinCEN-standard SAR narratives for cases requiring regulatory fili…

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  1. 2026-09-24 14:56 · DEV Community — AI
    Building an Agentic Fraud Investigation System with TigerGraph, LangGraph & MCP

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