Session
When RAG Hallucinates Numbers: Graph-RAG for Precise Answers
Traditional RAG works for simple lookups but fails on counting, aggregation, and out-of-domain queries, fabricating plausible but wrong answers. Graph-RAG uses knowledge graphs for structured, relationship-aware retrieval that returns precise results.
In a live comparison, two agents get the same queries on the same data. Traditional RAG invents counts and nonexistent results. Graph-RAG answers correctly every time using auto-built knowledge graphs and the Text2Cypher pattern.
Outline:
• The RAG Hallucination Problem
• Graph-RAG Architecture
• Live Implementation
• Production Patterns
• Decision Framework
Elizabeth Fuentes Leone
Developer Advocate
San Francisco, California, United States
Links
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