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Building FraudGraph Agent: Autonomous Fraud Investigation & Policy-Compliant Next-Best Action with TigerGraph

信息来源:DEV Community·

内容摘要

How we combined TigerGraph 4.2.5, Model Context Protocol (MCP), calibrated Graph ML, Vector GraphRAG, and deterministic policy enforcement to build an enterprise-grade autonomous fraud investigator.
内容分类AI 教程与实战
内容层级普通情报
发布时间(北京时间)
本站收录时间(北京时间)
信息来源DEV Community
站内情报编号intel-a65ebc2c94969fc45234962b