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gsql

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Agentic fraud investigation on TigerGraph: takes a bank alert, investigates it across a 590,742-transaction graph, decides what kind of fraud it is and how far it goes, and recommends what to do under a written policy — with the graph query behind every claim.

  • Updated Sep 24, 2026
  • Python

Cost-aware Agentic GraphRAG on TigerGraph. Benchmarks RAG vs GraphRAG vs Agentic GraphRAG over one shared graph, and finds agentic reasoning changes the answer on just 3% of questions, so routing reaches the same 100% accuracy for 64 tokens/question instead of 890.

  • Updated Sep 20, 2026
  • Python

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