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Bagja Nugraha

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Review Open access Jul 2026

Mitigating Hallucinations in Large Language Models via Retrieval Augmented Generation: A Systematic Review of n8n-Based Implementations

This study proposes a novel conceptual framework and taxonomy for hallucination mitigation in low-code AI environments, integrating retrieval, validation, conflict resolution, and workflow orchestration mechanisms to contribute to the development of more reliable, transparent, and scalable AI systems.

I. K. W. Adnyana, Rosalin Theophilia Tayane, Fahmi Fahmi et al. · 0 citations