A 2-week A/B test plan for RAG systems involves comparing a baseline (Standard RAG) against a variant (CRAG or Adaptive RAG) using 10–20% stratified traffic, tracking hallucination rate, latency (p95), cost per query, and user trust score, with a decision rule to adopt the variant if hallucination rate decreases by ≥30%, latency increase is ≤200ms, and cost increase is ≤30%.

Authors

• Person: Sumit Umbardand Organization: LinkedIn
  RAG Hallucinations: Retrieval Success ≠ Generation Accuracy

Sources

• RAG Hallucinations: Retrieval Success ≠ Generation Accuracy www.linkedin.com Sumit Umbardand · LinkedIn via serper

Referenced by nodes (3)

• Retrieval-Augmented Generation (RAG) concept
• hallucination rate concept
• latency concept