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Hybrid Search

A retrieval strategy that merges the results of semantic (dense) vector search with traditional lexical (sparse) search to balance conceptual relevance against keyword precision, though it introduces architectural complexity and latency via required rank fusion steps.

Definition

A retrieval strategy that merges the results of semantic (dense) vector search with traditional lexical (sparse) search to balance conceptual relevance against keyword precision, though it introduces architectural complexity and latency via required rank fusion steps.

Disambiguation

Distinguish from multi-database queries; it specifically refers to fusing high-dimensional embeddings with frequency-based algorithms like BM25.

Visual Metaphor

"A library search that simultaneously uses a conceptual 'mood map' of the books and a precise alphabetical subject index to find a specific title."

Key Tools
WeaviatePineconeElasticSearchQdrantLangChainLlamaIndex
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Conceptual Overview

A retrieval strategy that merges the results of semantic (dense) vector search with traditional lexical (sparse) search to balance conceptual relevance against keyword precision, though it introduces architectural complexity and latency via required rank fusion steps.

Disambiguation

Distinguish from multi-database queries; it specifically refers to fusing high-dimensional embeddings with frequency-based algorithms like BM25.

Visual Analog

A library search that simultaneously uses a conceptual 'mood map' of the books and a precise alphabetical subject index to find a specific title.

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