Unverified50% confidenceFactExact time
RAG系统通常包含三个核心组件：文档索引、检索器和生成器，无需重新训练模型就能实时更新知识并降低幻觉率
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedRAG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80% similarVerifiedThe core architecture of RAG is divided into three key stages: document preprocessing and vectorization, semantic retrieval, and augmented generation.80% similarVerifiedRAG (Retrieval-Augmented Generation) typically comprises three core components: a vector database, a retriever (which recalls relevant document chunks based on cosine similarity), and a generator.79% similarUnverifiedRAG typically consists of three core stages: offline indexing, online retrieval, and context injection.77% similarUnverifiedRAG architecture effectively reduces hallucination risk by decoupling knowledge storage from language generation and constraining the knowledge source to an auditable range of official documents.77% similar
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