| name | 0.3.5-understand-chroma_embedding |
| description | [0.3.5] A dense vector of floating-point numbers produced by an embedding function, representing the semantic position |
understand-chroma_embedding
CALL NUMBER: deep_vector_database.chroma_embedding
DEFINITION: A dense vector of floating-point numbers produced by an embedding function, representing the semantic position of a document in high-dimensional space.
Invoke this skill to understand chroma_embedding 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_embedding_function (d1): A callable that converts raw input documents into embedding vectors; Chroma supports multiple backends (sentence-transformers, OpenAI, Cohere, etc.).
CONSUMERS (what needs this)
chroma_collection, chroma_document
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.)
