Verified90% confidenceFactTime unknown
The typical workflow of RAG (Retrieval-Augmented Generation) consists of four steps: document chunking, vector embedding, similarity search, and context injection.
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6/1/2026
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VerifiedRAG（检索增强生成）技术架构将文档切片、向量化、存入向量数据库，查询时先检索相关片段再交给模型生成回答80% similarUnverifiedThe engineering challenges of RAG are concentrated in chunk splitting strategies, embedding model selection, retrieval accuracy tuning (dense + sparse hybrid retrieval and reranking), and multimodal content parsing.80% 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80% similar
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