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Embeddings

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

Create embeddings
client.embeddings.create(EmbeddingCreateParams { input, model, dimensions, 2 more } body, RequestOptionsoptions?): CreateEmbeddingResponse { data, model, object, usage }
POST/embeddings
ModelsExpand Collapse
CreateEmbeddingResponse { data, model, object, usage }
Embedding { embedding, index, object }

Represents an embedding vector returned by embedding endpoint.

EmbeddingModel = "text-embedding-ada-002" | "text-embedding-3-small" | "text-embedding-3-large"