0-3-4-understand-mmr003

name	0.3.4-understand-mmr003
description	[0.3.4] Cross-modal retrieval: searching for content in one modality using a query from a different modality, such as

understand-mmr003

CALL NUMBER: deep_retrieval_augmented_.mmr003 DEFINITION: Cross-modal retrieval: searching for content in one modality using a query from a different modality, such as retrieving images from a text query or code from a table context.

Invoke this skill to understand mmr003 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_

• mmr002 (d1): Multi-modal embedding model: neural network architecture that projects content from different modalities into a shared vector space enabling cross-modal similarity search.
• mmr012 (d2): 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)

mmr011, mmr013, mmr022, mmr026, multi_modal_rag

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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.)