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Core concept · AI Search Infrastructure

Definition

Query decomposition is the process by which an AI system breaks a single complex question into smaller, answerable sub-questions before searching. A question that bundles several needs, a place, a constraint, and a comparison, gets split into separate retrievals, each aimed at one part. The model then assembles the pieces into a single answer. A buyer rarely asks one clean question. When someone asks an assistant for a walkable resort that suits a specific diet near good restaurants, the model does not run that as one search. It decomposes the request and retrieves for each part, so a business is found only if its pages answer one of those parts directly. Content that addresses single, specific questions is what survives decomposition. Content that answers everything vaguely is retrieved for nothing.

Query understanding

Broader term

Query fan-out

See also

Multi-step retrieval

See also

Query expansion

See also

Semantic search

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