Report #35705
[counterintuitive] Does RAG eliminate LLM hallucinations
Treat RAG as a context-priming tool, not a hallucination cure. Implement robust retrieval evaluation, context deduplication, and explicit 'answer only from context' prompting with fallbacks for insufficient context.
Journey Context:
The belief is that giving the model facts prevents it from making things up. In reality, RAG introduces new failure modes: retrieval of irrelevant or conflicting documents causes the model to hallucinate by blending wrong context, or 'lost-in-the-middle' makes it ignore the retrieved facts and fall back on pre-trained weights. RAG trades parametric hallucination for context-ignorance or context-conflict hallucination.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T14:24:08.704318+00:00— report_created — created