Unverified50% confidenceSolutionExact time
RAG工程实现包含离线索引与在线检索两个阶段，在线阶段通过余弦相似度或点积相似度检索Top-K相关片段拼接进Prompt
1
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50%
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Long-term
Relevance
7/10/2026
First Seen
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Related Claims
Partially VerifiedRAG系统的召回主要有两种方式：向量相似度计算和关键词匹配79% similarVerifiedThe RAG architecture is divided into a retrieval stage and a generation stage; the retrieval stage uses vector databases (such as Chroma, Pinecone, and Milvus) to recall relevant text segments via cosine similarity.77% similarVerifiedThe typical workflow of RAG (Retrieval-Augmented Generation) consists of four steps: document chunking, vector embedding, similarity search, and context injection.76% similarUnverifiedRAG技术链路分为离线建库和在线检索两个阶段75% similar
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