Embed

Represents the capability of generating embeddings within the context of language models.

The Embed capability allows models to process input text and generate vector embeddings, which are numerical representations of text that enable similarity comparisons, clustering, and other forms of vector-based analysis.

This capability can be utilized in tasks like semantic search, document clustering, or other operations requiring an understanding of textual similarity.