0-3-1-understand-chroma-collection

name	0.3.1-understand-chroma_collection
description	[0.3.1] A named namespace within Chroma that stores embeddings, associated documents, metadata, and IDs as an isolated

understand-chroma_collection

CALL NUMBER: deep_vector_database.chroma_collection DEFINITION: A named namespace within Chroma that stores embeddings, associated documents, metadata, and IDs as an isolated group.

Invoke this skill to understand chroma_collection 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_vector_database

• chroma_document (d1): The raw text or payload string that is embedded and stored alongside its vector representation in a collection.
• chroma_embedding (d1): A dense vector of floating-point numbers produced by an embedding function, representing the semantic position of a document in high-dimensional space.
• chroma_entry_id (d1): A unique identifier string assigned to each embedded document within a collection; used for targeted get/delete operations.
• chroma_filter (d1): A metadata predicate applied at query time to restrict which entries are considered during approximate nearest-neighbor search.
• chroma_metadata (d1): Structured key-value attributes attached to an embedding entry; enables filtering and payload queries at query time.
• chroma_embedding_function (d2): A callable that converts raw input documents into embedding vectors; Chroma supports multiple backends (sentence-transformers, OpenAI, Cohere, etc.).

CONSUMERS (what needs this)

chroma_persistence, chroma_query

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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.)