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
UnverifiedRAG（Retrieval-Augmented Generation，检索增强生成）架构在生成文本前先实时抓取目标网站内容，将检索到的最新信息作为上下文依据注入生成过程80% similarVerifiedRAG（检索增强生成）的典型流程包括文档分块（Chunking）、向量嵌入（Embedding）、相似度检索（Similarity Search）和上下文注入（Context Injection）四个步骤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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