Unverified50% confidenceFactExact time
Vector retrieval matches semantics, while traditional keyword retrieval matches literal words; this is why RAG can answer questions like "you can still find it if you phrase it differently."
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Long-term
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10/30/2026
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UnverifiedSemantic retrieval and keyword retrieval are often used together in mature RAG systems (hybrid retrieval), then results are optimized through a reranking model, to balance recall and precision.76% similarVerified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74% similarUnverifiedThe ontology layer has advantages over RAG in handling precise numerical queries, cross-table association analysis, and ensuring metric consistency, because it provides deterministic business rules rather than probabilistic text similarity matching.73% similarUnverifiedHybrid retrieval, which combines the precision of keyword retrieval with the semantic recall of vector retrieval, has become the de facto standard for modern search engines.67% similarVerifiedIn actual production, hybrid retrieval combining both vector similarity and keyword matching is typically used.67% similar
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