EyeRAG: graph retrieval-augmented generation for safe and accurate clinical dialogue in ophthalmology.

Large language models promise to transform ophthalmic clinical communication but face challenges from factual inaccuracies (hallucinations) and limited domain knowledge.

This study introduces EyeRAG, a guideline-grounded GraphRAG system for ophthalmic dialogue that integrates OphthaKG, a domain-specific knowledge graph, constructed exclusively from clinical guidelines.