This research introduces a Retrieval-Augmented Generation (RAG) approach that prioritizes both topical relevance and factual accuracy in health information retrieval systems.

• Addresses the critical challenge of health misinformation in online content
• Leverages RAG to enhance factual accuracy of retrieved health information
• Evaluates performance using health information benchmark datasets
• Provides a framework for more reliable health information systems

This work is significant for the medical field as it offers a solution to the growing problem of misinformation in online health resources, potentially reducing harm from inaccurate health guidance while improving access to trustworthy information for patients and healthcare providers.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy