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  5. Hybrid Search
Retrieval & Search

Hybrid Search

Hybrid search combines lexical matching with semantic or vector retrieval.

Ask Melo about this← all terms

Each retriever produces scores or ranked candidates using different evidence, such as exact terms and learned meaning. A fusion method normalizes and merges those rankings before optional filtering or reranking.

Related terms

ChunkingRerankingBM25Cosine SimilarityEmbedding ModelVector Database

Where Hybrid Search comes up

  • Semantic vs vector vs hybrid search: the most confusable topic on the AI-103 exam
  • Vector Databases for RAG Compared: pgvector, Qdrant, Chroma, Weaviate
  • Zvec: Alibaba's Open-Source In-Process Vector Database (2026)
  • How to Add a Reranker to Your RAG Pipeline: Models, Latency, and Cost