OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning
arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as biomedicine and healthcare, where answers must be grounded in established knowledge. Retrieval-augm…
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- 2026-10-28 04:00 · arXiv cs.AI
OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning