Verified65% confidenceFactTime unknown
In actual production, hybrid retrieval combining both vector similarity and keyword matching is typically used.
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65%
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6/3/2026
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Verified关键词搜索基于精确字符匹配无法理解同义词，语义搜索依赖向量嵌入可捕捉语义关联，两者结合的混合检索效果优于单一方法73% similarUnverifiedKeyword matching splits a query into terms and relies on inverted indexes and statistical signals such as TF-IDF or BM25 to judge relevance; semantic matching encodes the entire context into a dense vector and measures semantic closeness with cosine similarity.71% similarUnverifiedThis type of automatic matching system usually includes two core stages, requirement parsing and semantic retrieval, with the latter returning Top-K candidate combinations through vector similarity comparison.71% similarVerified混合检索（Hybrid Search）将向量检索与BM25关键词检索的结果通过RRF（倒数排名融合）等算法合并，兼顾语义理解与精确匹配70% similar
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