Definition
A representation strategy where a single document or data chunk is mapped to multiple distinct vector embeddings to capture varied semantic nuances—such as summaries, hypothetical questions, or token-level interactions—trading increased storage and compute costs for significantly higher retrieval precision.
Distinct from 'High-Dimensional Embeddings'; it refers to multiple coordinate points for one record rather than one long coordinate list.
"A set of specialized keys for different locks on the same door, rather than a single master key that might not fit any one lock perfectly."
Conceptual Overview
A representation strategy where a single document or data chunk is mapped to multiple distinct vector embeddings to capture varied semantic nuances—such as summaries, hypothetical questions, or token-level interactions—trading increased storage and compute costs for significantly higher retrieval precision.
Disambiguation
Distinct from 'High-Dimensional Embeddings'; it refers to multiple coordinate points for one record rather than one long coordinate list.
Visual Analog
A set of specialized keys for different locks on the same door, rather than a single master key that might not fit any one lock perfectly.