Unverified50% confidenceFactExact time
传统RAG依赖基于BM25算法的关键词稀疏检索和基于FAISS、Chroma等向量数据库的稠密向量检索
1
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50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
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Related Claims
UnverifiedHybrid 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.79% similarVerifiedBM25 is a classic keyword retrieval algorithm based on term frequency statistics, which is complementary to vector retrieval.77% similarVerifiedBM25是一种基于词频统计（TF-IDF改进版）的经典信息检索算法，属于稀疏检索方法75% similarUnverifiedDify 在 RAG 管道中支持混合检索（向量检索 + BM25 关键词检索，通过 RRF 算法融合）以及 Reranker 重排序74% similar
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