Unverified50% confidenceFactExact time
Hybrid search runs dense vector search and classic keyword search (BM25) simultaneously, and typically uses Reciprocal Rank Fusion to merge the results, with the fusion formula summing 1 / (k + rank) over each document's rank in each list.
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Long-term
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10/18/2026
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Verified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80% similarUnverifiednmem的混合搜索将向量语义搜索和传统关键词搜索结合，通常采用Reciprocal Rank Fusion或线性加权的融合策略78% similarVerifiedHybrid retrieval, which fuses BM25 keyword scores with vector similarity scores through weighted combination (typically using the RRF reciprocal rank fusion algorithm), has become the mainstream paradigm for RAG systems.76% similarUnverifiedMicrosoft's hybrid search documentation describes running keyword search and vector search in parallel, then merging the ranked lists with Reciprocal Rank Fusion (RRF), with k set to the 60 used in the original paper.74% similarVerifiedHybrid retrieval typically merges results from two retrieval pipelines using a weighted combination via the RRF (Reciprocal Rank Fusion) algorithm.74% similar
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