Unverified50% confidenceFactExact time
Semantic proximity and conditional matching are two distinct dimensions, and pure vector retrieval cannot perceive differences in conditions.
1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
Related Entities
Related Claims
Unverified向量检索只能捕捉表面语义相似性，无法理解实体间的结构化关系，对多跳关系问题往往无法给出精确答案73% similarUnverified余弦相似度衡量的是两个向量在高维球面上的角度差异，依赖全局方向信息，忽略嵌入向量各维度之间的局部关系结构73% similarUnverifiedTraditional semantic similarity retrieval based on embedding vectors is a retrospective static semantic matching approach that cannot capture the temporal causal associations between commitments and trigger scenarios.72% similarVerifiedVector similarity computation typically uses cosine similarity, which measures the angle between vector directions rather than absolute distance and is insensitive to vector magnitude.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/982404API
curl https://kongchang.com/api/v1/knowledge/claims/982404MCP
get_claim(id=982404)