Retrieval-Augmented Generation (RAG) reduces hallucinations by grounding responses in external knowledge sources, though it can introduce new hallucinations through poor retrieval quality, context overflow, or misaligned reranking.

Authors

• Person: Not available Organization: Zylos
  LLM Hallucination Detection and Mitigation: State of the Art in 2026
• Person: Not available Organization: Amazon Web Services
  Reducing hallucinations in large language models with custom ...
• Person: Not available Organization: CloudThat
  The Role of Hallucinations in Large Language Models - CloudThat

Sources

• LLM Hallucination Detection and Mitigation: State of the Art in 2026 zylos.ai Zylos via serper
• Reducing hallucinations in large language models with custom ... aws.amazon.com Amazon Web Services via serper
• The Role of Hallucinations in Large Language Models - CloudThat www.cloudthat.com CloudThat via serper

Referenced by nodes (3)

• hallucination concept
• Retrieval-Augmented Generation (RAG) concept
• external knowledge base concept