Embeddings API
The Embeddings API produces numerical vector representations of text and short content via a hosted service. These vectors are used for semantic search, clustering, similarity scoring and retrieval-augmented applications. The API supports different model variants, dimensional configurations and batching options for production workloads.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Reference building block
This building block serves as a structured reference in the knowledge model, with core data, context, and direct relationships.
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.