Agent-Orchestrated Adaptive RAG: A Comparative Study on Structured and Multi-Hop Retrieval 事件

Agent-Orchestrated Adaptive RAG: A Comparative Study on Structured and Multi-Hop Retrieval arXiv:2606.05658v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding their responses in external knowledge, but conventional pipelines rely on static, single-step retrieval that limits performance on complex queries. This paper presents an Agent-Orchestrated Adaptive RAG framework that introduces dynamic query decomposition, iterative re