Graphs make LLM inference{" "} faster,{" "} cheaper, and{" "} smarter

A dual-pipeline system comparing Baseline RAG vs GraphRAG with real numbers. TigerGraph organizes information into relationships that Claude can follow — cutting tokens, speeding up responses, and saving cost without losing accuracy.

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+21%

F1 on Bridge Queries

4 Layers

AI Factory Architecture

Novel Features

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architecture.graphrag

{"// AI Factory Model — 4 Layers"}

Layer 4 {" │ "} Evaluation {" → RAGAS + F1/EM + Dashboard"}

Layer 3 {" │ "} LLM {" ────→ Claude Sonnet 4"}

Layer 2 {" │ "} Orchestration {" → Dual Pipeline Router"}

Layer 1 {" │ "} Graph {" ──→ TigerGraph Cloud"}

{"// Pipeline A: Query → Vector Search → LLM"}

{"// Pipeline B: Query → Keywords → Graph → LLM"}

{"✓ Adaptive Routing ✓ Schema-Bounded Extraction"}

{"✓ Graph Reasoning ✓ Dual-Level Keywords"}

{"✓ Cost Tracking ✓ Real-Time Comparison"}