NLP & Language · intermediate · concept 135 of 311 · Updated Nov 4, 2026
Hybrid Search & Reranking
Hybrid search runs keyword and vector search together and merges the results, because each misses what the other finds. Reranking then has a slower, more accurate model reorder the top candidates. In practice this pairing often improves a RAG system more than changing the language model does, and it is usually the first upgrade worth testing.
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Key terms
BM25Vector searchReciprocal rank fusionCross-encoderRecall versus precision
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Where you meet it in the real world
Enterprise search, RAG over company documents, e-commerce search
Guides and articles
Contextual retrieval in AI systems ↗
Anthropic
Hybrid search explained ↗
Weaviate
Hybrid search overview ↗
Microsoft
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