0-3-3-understand-pinecone-record

name	0.3.3-understand-pinecone_record
description	[0.3.3] A data unit in Pinecone containing id, dense vector values, optional sparse values, and key-value metadata.

understand-pinecone_record

CALL NUMBER: deep_vector_database.pinecone_record DEFINITION: A data unit in Pinecone containing id, dense vector values, optional sparse values, and key-value metadata.

Invoke this skill to understand pinecone_record 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 ?

• belongs_to_pinecone_index (d1): The containment relationship indicating a record resides within a specific Pinecone index for storage and retrieval.
• belongs_to_pinecone_namespace (d1): The tenancy relationship indicating a record is scoped to a particular namespace within a Pinecone index.
• contains_pinecone_dense_vector (d1): The composition relationship where a Pinecone record embeds dense vector values representing semantic embeddings for ANN search.
• contains_pinecone_sparse_vector (d1): The composition relationship where a Pinecone record optionally embeds sparse vector dimensions for hybrid dense-sparse retrieval.

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Projected from the vector databases and embeddings KB (262 concepts / 150 relations) — consistency-typed by MAP; the facet list after the colon IS the cross-lib dependency web.

(leaf — this is an actual skill.)