VoyageAI

Select a language

Python

JavaScript

Chroma also provides a convenient wrapper around VoyageAI's embedding API. This embedding function runs remotely on VoyageAI’s servers, and requires an API key. You can get an API key by signing up for an account at VoyageAI.

Python

This embedding function relies on the voyageai python package, which you can install with pip install voyageai.

import chromadb.utils.embedding_functions as embedding_functions
voyageai_ef  = embedding_functions.VoyageAIEmbeddingFunction(api_key="YOUR_API_KEY",  model_name="voyage-large-2")
voyageai_ef(texts=["document1","document2"])

JavaScript

const {VoyageAIEmbeddingFunction} = require('chromadb');
const embedder = new VoyageAIEmbeddingFunction("apiKey", "voyage-large-2")

// use directly 
const embeddings = embedder.generate(["document1","document2"])

// pass documents to query for .add and .query
const collection = await client.createCollection({name: "name", embeddingFunction: embedder})
const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder})

You should pass in the model_name argument, which lets you choose which VoyageAI embeddings model to use. You can see the available models here.