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

> Полный текст доступен на английском

**Published:** 28 октября 2026 г.
**Author:** Hui Yang, Jiaoyan Chen, Yongsheng Gao
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/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…

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> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2610.36335)

**Теги:** #arXiv

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