Unverified50% confidenceOpinionExact time
The core judgment of LeanGraphSearch is: proof discovery is essentially a structure-aware search problem, not merely a text similarity ranking problem.
1
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50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
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Related Claims
UnverifiedRAG is essentially flat retrieval based on semantic similarity, good at finding content that 'sounds similar,' but struggles to capture causal chains, temporal dependencies, and hierarchical structures between pieces of information.70% similarUnverifiedVector search can retrieve text chunks with high similarity scores, but cannot explain the reasoning logic behind answers, nor structurally connect facts scattered across different documents.68% similarUnverifiedSearch hooks are essentially similarity matching, finding semantically close historical fragments rather than information that is truly important to the current task, which represents a structural gap.65% similarUnverifiedRelying solely on vector similarity retrieval often yields imprecise recall, necessitating a hybrid retrieval approach that combines keyword-based retrieval.63% similarUnverifiedRAG检索依赖语义向量相似度匹配，无法检索只存在于PR评论或工程师记忆里的隐性决策知识62% similar
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