0-3-3-understand-mmr002

name	0.3.3-understand-mmr002
description	["0.3.3"]
Multi-modal embedding model	neural network architecture that projects content from different modalities into

understand-mmr002

CALL NUMBER: deep_retrieval_augmented_.mmr002 DEFINITION: Multi-modal embedding model: neural network architecture that projects content from different modalities into a shared vector space enabling cross-modal similarity search.

Invoke this skill to understand mmr002 down to its primitives. The RELATIVE ROOT below is the least-fixed-point closure of everything it bundles from — the full import cone, grouped by the lib each prim comes from. Projected from a prover-typed KB (MAP/SWI-Prolog consistency gate): every reference below resolves.

THE RELATIVE ROOT (the import cone, by lib)

from deep_retrieval_augmented_

• mmr012 (d1): Cross-modal similarity metric: distance or similarity measure applicable across modality boundaries — enabling comparison of text query vectors against image embeddings, for example.

CONSUMERS (what needs this)

mmr003, mmr004, mmr009, mmr010, mmr024

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Projected from the retrieval augmented generation architecture patterns KB (207 concepts / 225 relations) — consistency-typed by MAP; the facet list after the colon IS the cross-lib dependency web.

(leaf — this is an actual skill.)