Embedding models create a vector representation of a piece of text. This page documents integrations with various model providers that allow you to use embeddings in LangChain.

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Install dependencies

npm i @langchain/openai

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Add environment variables

OPENAI_API_KEY=your-api-key

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Instantiate the model

import { OpenAIEmbeddings } from "@langchain/openai";

const embeddings = new OpenAIEmbeddings({
  model: "text-embedding-3-large"
});

await embeddings.embedQuery("Hello, world!");

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All embedding models

Alibaba Tongyi

Azure OpenAI

Baidu Qianfan

Amazon Bedrock

ByteDance Doubao

Cloudflare Workers AI

Cohere

DeepInfra

Fireworks

Google Generative AI

Google Vertex AI

Gradient AI

HuggingFace Inference

IBM watsonx.ai

Jina

Llama CPP

Minimax

MistralAI

Mixedbread AI

Nomic

Ollama

OpenAI

Pinecone

Prem AI

Tencent Hunyuan

TensorFlow

TogetherAI

HuggingFace Transformers

Voyage AI

ZhipuAI