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 and use

Install dependencies:
npm i @langchain/openai
Add environment variables:
OPENAI_API_KEY=your-api-key
Instantiate the model:
import { OpenAIEmbeddings } from "@langchain/openai";

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

await embeddings.embedQuery("Hello, world!");
Install dependencies:
npm
npm i @langchain/openai
yarn
yarn add @langchain/openai
pnpm
pnpm add @langchain/openai
Add environment variables:
AZURE_OPENAI_API_INSTANCE_NAME=<YOUR_INSTANCE_NAME>
AZURE_OPENAI_API_KEY=<YOUR_KEY>
AZURE_OPENAI_API_VERSION="2024-02-01"
Instantiate the model:
import { AzureOpenAIEmbeddings } from "@langchain/openai";

const embeddings = new AzureOpenAIEmbeddings({
  azureOpenAIApiEmbeddingsDeploymentName: "text-embedding-ada-002"
});

await embeddings.embedQuery("Hello, world!");
Install dependencies:
npm i @langchain/aws
Add environment variables:
BEDROCK_AWS_REGION=your-region
Instantiate the model:
import { BedrockEmbeddings } from "@langchain/aws";

const embeddings = new BedrockEmbeddings({
  model: "amazon.titan-embed-text-v1"
});

await embeddings.embedQuery("Hello, world!");
Install dependencies:
npm i @langchain/google-vertexai
Add environment variables:
GOOGLE_APPLICATION_CREDENTIALS=credentials.json
Instantiate the model:
import { VertexAIEmbeddings } from "@langchain/google-vertexai";

const embeddings = new VertexAIEmbeddings({
  model: "gemini-embedding-001"
});

await embeddings.embedQuery("Hello, world!");
Install dependencies:
npm i @langchain/mistralai
Add environment variables:
MISTRAL_API_KEY=your-api-key
Instantiate the model:
import { MistralAIEmbeddings } from "@langchain/mistralai";

const embeddings = new MistralAIEmbeddings({
  model: "mistral-embed"
});

await embeddings.embedQuery("Hello, world!");
Install dependencies:
npm i @langchain/cohere
Add environment variables:
COHERE_API_KEY=your-api-key
Instantiate the model:
import { CohereEmbeddings } from "@langchain/cohere";

const embeddings = new CohereEmbeddings({
  model: "embed-english-v3.0"
});

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