Amazon Embeddings

When using Amazon embeddings, llm-exe will make POST requests to the AWS Bedrock endpoint for your configured region.

Options

Option	Type	Default	Description
model	string	—	The Bedrock model ID (e.g., amazon.titan-embed-text-v2:0)
dimensions	number	512	The number of dimensions for the output embedding
awsRegion	string	AWS_REGION env var	The AWS region for the Bedrock endpoint (required)
awsSecretKey	string	—	AWS secret key (if not using default credentials)
awsAccessKey	string	—	AWS access key (if not using default credentials)

Basic Usage

import { createEmbedding } from "llm-exe";

const embeddings = createEmbedding("amazon.embedding.v1", {
  model: "amazon.titan-embed-text-v2:0",
});

const str = "The string of text you would like as vector";
const embedding = await embeddings.call(str);
const vector = embedding.getEmbedding();
console.log(vector);
// [
//  -0.08704914152622223,   0.062177956104278564,     0.0284775048494339,
//    0.0569550096988678,   0.021762285381555557,   0.046509113162755966,
// ...etc
// ]