AI Glossary

Hybrid Search

A retrieval architecture that combines structured metadata queries (exact filters on tool, date, model) with vector similarity search (semantic meaning, visual resemblance) in parallel, then fuses the ranked results into a single list. Enables queries that are simultaneously precise and semantic.

Neither keyword search nor semantic search alone is sufficient for AI asset libraries. Keyword search excels at exact matches ("SDXL, seed 42") but fails when users describe visual concepts. Semantic search understands meaning but cannot enforce strict constraints like date ranges or tool names.

Hybrid search runs both retrieval paths in parallel and combines their ranked results using fusion algorithms. A query like "moody cyberpunk portrait, made with SDXL last week" splits into a structured filter (tool=SDXL, date=last 7 days) and a semantic query ("moody cyberpunk portrait"), with results merged to satisfy both constraints simultaneously.

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