EmbeddingsRequest

Request parameters for creating embeddings. Generates vector representations of the input text(s).

Example Usage

import { EmbeddingsRequest } from "@meetkai/mka1/models/components";

let value: EmbeddingsRequest = {
  input: "The quick brown fox jumps over the lazy dog.",
  model: "openai:text-embedding-3-small",
};

Fields

Field	Type	Required	Description
input	components.Input	✔️	The input text or array of texts to generate embeddings for. Can be a single string or an array of strings. Note: batch size and input length limits vary by model. See GET /embeddings/models for model-specific limits.
model	string	✔️	ID of the model to use for generating embeddings. Use provider:model format (e.g., 'openai:text-embedding-3-small'). See GET /embeddings/models for available models and their limits.
dimensions	number	➖	The number of dimensions the resulting output embeddings should have. Only supported in certain models.
encodingFormat	components.EncodingFormat	➖	The format to return the embeddings in. Can be either 'float' (array of numbers) or 'base64' (base64-encoded binary).
user	string	➖	A unique identifier representing your end-user.