Unverified50% confidenceFactExact time
RAG完整技术流程分为索引阶段、检索阶段、生成阶段三个阶段，解决了LLM知识截止日期和幻觉两大核心痛点
1
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50%
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Long-term
Relevance
7/25/2026
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Related Claims
VerifiedThe complete RAG pipeline is divided into two major phases: the data indexing phase and the query retrieval phase.82% similarUnverifiedThe working principle of RAG is divided into a retrieval phase (converting the question into a vector to recall relevant content from the knowledge base) and a generation phase (inputting the recalled context together with the question into the model to produce an answer).78% similarVerifiedThe complete RAG workflow contains three key stages—indexing, retrieval, and generation—where the indexing stage requires converting text chunks into high-dimensional vectors via an Embedding model76% similarUnverifiedRAG工作流程包含索引、检索、生成三个关键阶段，与直接微调模型相比无需重新训练即可注入私有或最新知识，成本极低75% similar
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