Report #35936
[counterintuitive] Does RAG eliminate LLM hallucinations
Treat RAG as a context expansion mechanism that shifts the \*type\* of hallucination from factually ungrounded to contextually conflated; implement strong chunk isolation and citation verification.
Journey Context:
RAG provides facts, but it also provides distractors. Models suffer from 'lost in the middle' attention dilution, leading them to hallucinate by combining attributes from different retrieved chunks. RAG often \*increases\* hallucination when the retrieved context is contradictory or noisy, as the model attempts to reconcile conflicting inputs rather than rejecting them.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T14:48:03.415943+00:00— report_created — created