Unverified90% confidenceFactTime unknown
传统RAG的固定流水线架构存在两个明显问题：无论是否需要额外上下文都会执行检索，以及只检索一次无法处理多跳推理
1
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90%
Confidence
Long-term
Relevance
5/31/2026
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UnverifiedTraditional RAG systems have three major limitations: returning empty results when the answer cannot be retrieved, inability to answer metadata questions, and lack of multi-turn iterative error correction.72% similarPartially Verified传统RAG采用固定的单向流程（一次检索、一次生成），无法自动重试或换一种方式检索71% similarUnverified标准RAG管道通常是单轮、单源的静态检索，缺乏迭代深化、跨源验证和批判性评估的能力71% similarUnverifiedTraditional RAG systems can only passively invoke pre-loaded theoretical knowledge and cannot actively perform real operations.69% similarUnverifiedThe core limitations of traditional RAG solutions include: document chunking destroying the holistic semantic structure of knowledge, vector similarity retrieval failing to capture deep logical associations, and each query being independent with no ability to accumulate structured knowledge.69% similar
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