How do you ensure bounded hallucination in LLM systems?

Bounded hallucination ensures LLM outputs remain within verified knowledge boundaries using retrieval grounding and verification layers.

Hallucination cannot be fully eliminated, but it can be bounded by forcing models to rely on retrieved context (RAG), applying fact-checking verifiers, and rejecting outputs that are not supported by evidence. Some systems enforce citation requirements so every statement must be grounded in retrieved documents.