Unverified85% confidenceFactTime unknown
RAG（Retrieval-Augmented Generation，检索增强生成）技术的成熟推动了Context Engineering的兴起
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Harness Engineering详解：驾驭AI Agent的第三代开发范式
bilibili程序员大都督周瑜
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Related Claims
UnverifiedThe RAG (Retrieval-Augmented Generation) architecture fetches target website content in real time before generating text, injecting the retrieved latest information as contextual evidence into the generation process80% similarVerifiedThe typical workflow of RAG (Retrieval-Augmented Generation) consists of four steps: document chunking, vector embedding, similarity search, and context injection.78% similarUnverifiedRAG（检索增强生成）通过将当前输入语义向量化并在历史库中执行近似最近邻检索注入上下文窗口77% similarUnverifiedContext7 provides a real-time document retrieval layer by continuously crawling and indexing official documentation, which is an application of the RAG (Retrieval-Augmented Generation) pattern.77% similar
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