RAG (Retrieval-Augmented Generation)
检索增强生成,一种在生成回答前先检索相关外部文档或知识的技术,用于将大语言模型的输出锚定在可验证的来源上。
English Definition
"A technique that augments a large language model's output by retrieving relevant external documents or knowledge before generation, grounding the response in verifiable sources."
常见错误
- ·不要以为 RAG 完全消除了幻觉,它只是显著降低,仍需配合忠实度评估。
真实用例 · 4 条
"MAP-X, a system that employs a large language model (LLM) with retrieval-augmented generation (RAG) to translate clinical assessments into an understandable interface."
"Retrievalaugmented generation (RAG) mitigates this challenge by connecting LLMs to external knowledge sources."
"The RAG has emerged as a promising approach to mitigate these risks by grounding the model outputs in verifiable domain-specific information."
"However, reliance on RAG still entails residual risks. Research shows that LLMs may ignore or distort retrieved context, particularly when key information is buried within long inputs."