Embed documents

//native

type Telnyx = {

	apiKey: string

}

/**

 * Embed documents

 * Perform embedding on a Telnyx Storage Bucket using the a embedding model.

 */

export async function main(

	auth: Telnyx,

	body: {

		bucket_name: string

		document_chunk_size?: number

		document_chunk_overlap_size?: number

		embedding_model?:

			| 'thenlper/gte-large'

			| 'intfloat/multilingual-e5-large'

			| 'sentence-transformers/all-mpnet-base-v2'

		loader?: 'default' | 'intercom'

	}

) {

	const url = new URL(`https://api.telnyx.com/v2/ai/embeddings`)

	const response = await fetch(url, {

		method: 'POST',

		headers: {

			'Content-Type': 'application/json',

			Authorization: 'Bearer ' + auth.apiKey

		},

		body: JSON.stringify(body)

	})

	if (!response.ok) {

		const text = await response.text()

		throw new Error(`${response.status} ${text}`)

	}

	return await response.json()

}