📄 中文摘要
在选择单次处理管道与自适应检索循环时，需考虑用例的复杂性、成本和可靠性要求。代理型 RAG 提供了一种动态调整的能力，使其在处理复杂任务时更具灵活性和适应性。相比之下，经典 RAG 更适合简单且稳定的任务，能够以较低的成本提供可靠的结果。根据具体应用场景的不同，选择合适的模型架构至关重要，以确保在效率和效果之间取得最佳平衡。
代理型 RAG 与经典 RAG：从管道到控制循环
出处: Agentic RAG vs Classic RAG: From a Pipeline to a Control Loop
发布: 2026年3月3日
📄 English Summary
Agentic RAG vs Classic RAG: From a Pipeline to a Control Loop
Choosing between single-pass pipelines and adaptive retrieval loops requires consideration of the complexity, cost, and reliability of the use case. Agentic RAG offers dynamic adjustment capabilities, making it more flexible and adaptive for complex tasks. In contrast, Classic RAG is better suited for simpler and more stable tasks, providing reliable results at a lower cost. Selecting the appropriate model architecture based on specific application scenarios is crucial to achieving the best balance between efficiency and effectiveness.