Verified90% confidenceFactTime unknown
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
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90%
Confidence
Long-term
Relevance
5/31/2026
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UnverifiedHybrid Search combines dense vector semantic similarity with BM25 sparse keyword matching, with results from both paths re-ranked by a Re-Ranker model before being injected into the LLM context.85% similarUnverifiedWeaviate和Elasticsearch的BM25+向量混合检索方案通过RRF算法合并两路结果,在语义相似性与词汇精确性之间取得平衡83% similarUnverifiedHybrid 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.83% similar
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