In validation studies, RAGAS agreed with human annotators 95% of the time for faithfulness, 78% for answer relevance, and 70% for contextual relevance.

Authors

• Person: Not available Organization: Zylos
  LLM Hallucination Detection and Mitigation: State of the Art in 2026

Sources

• LLM Hallucination Detection and Mitigation: State of the Art in 2026 zylos.ai Zylos via serper

Referenced by nodes (1)

• RAGAS concept