# OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning

> 全文为英语

**Published:** 2026年10月28日
**Author:** Hui Yang, Jiaoyan Chen, Yongsheng Gao
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/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…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.36335)

**标签：** #arXiv

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