OpenAI Embeddings

When using OpenAI embeddings, llm-exe will make POST requests to https://api.openai.com/v1/embeddings.

Options

Option	Type	Default	Description
model	string	—	The OpenAI embedding model to use (e.g., text-embedding-3-small)
dimensions	number	1536	The number of dimensions for the output embedding
encodingFormat	string	—	The encoding format (e.g., float, base64)
openAiApiKey	string	OPENAI_API_KEY env var	Your OpenAI API key

Basic Usage

import { createEmbedding } from "llm-exe";

const embeddings = createEmbedding("openai.embedding.v1", {
    model: "text-embedding-3-small",
});

const str = "The string of text you would like as vector";
const embedding = await embeddings.call(str);
const vector = embedding.getEmbedding();
console.log(vector);
// [
//   -0.014564549,   0.026690058,  -0.021338109,  -0.042174473,   -0.05775645,
//    -0.04404208, -0.0035819034,  -0.012320633,   -0.02112905,   0.030355586,
// ...etc
// ]

Custom Dimensions

const embeddings = createEmbedding("openai.embedding.v1", {
    model: "text-embedding-3-small",
    dimensions: 512,
});