📄 中文摘要
在构建 LLM 应用时，虽然使用了 RAG 技术来进行问答，但仍然存在不足之处。RAG 主要通过检索与查询匹配的文档来提供信息，适用于特定问题的解答。然而，仅依赖 RAG 无法全面理解和处理复杂的上下文和世界知识。因此，引入世界模型是必要的，它能够更好地整合和理解信息，提升应用的智能化水平。通过建立世界模型，LLM 应用可以在更广泛的背景下进行推理和决策，从而提供更准确和有深度的回答。
为什么你的 LLM 应用需要世界模型（不仅仅是 RAG）
出处: Why Your LLM App Needs a World Model (Not Just RAG)
发布: 2026年2月23日
📄 English Summary
Why Your LLM App Needs a World Model (Not Just RAG)
Building an LLM application using RAG for Q&A may seem effective, but it lacks a critical component: a world model. RAG retrieves documents that match a query, which is useful for answering specific questions. However, relying solely on RAG does not allow for a comprehensive understanding of complex contexts and world knowledge. Introducing a world model is essential, as it can better integrate and comprehend information, enhancing the application's intelligence. By establishing a world model, LLM applications can reason and make decisions within a broader context, leading to more accurate and in-depth responses.