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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 SimilarityVector EmbeddingSelf-Writing Vault

Where Hybrid Search comes up

  • Semantic vs vector vs hybrid search: the most confusable topic on the AI-103 exam
  • Zvec: Alibaba's Open-Source In-Process Vector Database (2026)
  • Castform + Neon: A 4B Open Model Matches GPT-5.6 Sol at 1/100th the Cost
  • Azure AI Apps and Agents Developer (AI-103): what the exam tests and how to prepare