| 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
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.)
