Report #56473
[counterintuitive] Does RAG eliminate LLM hallucinations
Implement robust chunking, citation verification, and re-ranking; treat RAG as context provision, not a hallucination cure.
Journey Context:
Developers assume providing external context via RAG forces the model to ground its answers, eliminating hallucinations. In reality, if the retrieved context is irrelevant, conflicting, or if the model's parametric memory strongly contradicts it, the model will ignore the context or hallucinate a synthesis of both. The 'lost in the middle' phenomenon means models often ignore context placed in the middle of long prompts, leading to hallucinations even with RAG.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T01:16:49.999463+00:00— report_created — created