Unverified50% confidenceFactExact time
Prompts solve 'how to communicate with the model,' RAG solves 'how to let the model use external knowledge,' workflows solve 'how to string multiple steps together,' and multi-agent systems solve 'how to let multiple roles collaborate.'
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Long-term
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10/21/2026
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VerifiedPrompt engineering and RAG address making large models answer questions well, while Agent addresses making large models proactively think and solve problems.77% similarUnverified微调适合教模型'如何做'，RAG 适合教模型'知道什么'76% similarUnverifiedThere are three main technical approaches to injecting external knowledge into large language models: fine-tuning, retrieval-augmented generation (RAG), and structured semantic layer/ontology injection.70% similarUnverified解决大模型知识边界问题的两大技术方向是持续微调（Fine-tuning）和RAG（检索增强生成），LangChain主要服务于RAG70% similarUnverifiedThe article divides large model deployment into four stages: native large model, prompt engineering, RAG, and Agent, corresponding respectively to generation, expression, knowledge, and action.70% similar
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