!function(){function t(t){document.documentElement.setAttribute("data-theme",t)}var e=function(){var t=null;try{t=new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}return t}()||function(){var t=null;try{t=localStorage.getItem("theme")}catch(t){}return t}();t(null!==e?e:"light")}(),document.documentElement.setAttribute("data-announcement-bar-initially-dismissed",function(){try{return"true"===localStorage.getItem("docusaurus.announcement.dismiss")}catch(t){}return!1}())

[Skip to main content](#__docusaurus_skipToContent_fallback)

LangChain v0.2 is coming soon! Preview the new docs [here](/v0.2/docs/introduction/).

[

![🦜️🔗 Langchain](/v0.1/img/brand/wordmark.png)![🦜️🔗 Langchain](/v0.1/img/brand/wordmark-dark.png)

](/v0.1/)[Docs](/v0.1/docs/get_started/introduction/)[Use cases](/v0.1/docs/use_cases/)[Integrations](/v0.1/docs/integrations/platforms/)[API Reference](https://api.js.langchain.com)

[More](#)

*   [People](/v0.1/docs/people/)
*   [Community](/v0.1/docs/community/)
*   [Tutorials](/v0.1/docs/additional_resources/tutorials/)
*   [Contributing](/v0.1/docs/contributing/)

[v0.1](#)

*   [v0.2](https://js.langchain.com/v0.2/docs/introduction)
*   [v0.1](/v0.1/docs/get_started/introduction/)

[🦜🔗](#)

*   [LangSmith](https://smith.langchain.com)
*   [LangSmith Docs](https://docs.smith.langchain.com)
*   [LangChain Hub](https://smith.langchain.com/hub)
*   [LangServe](https://github.com/langchain-ai/langserve)
*   [Python Docs](https://python.langchain.com/)

[Chat](https://chatjs.langchain.com)[](https://github.com/langchain-ai/langchainjs)

Search

*   [Get started](/v0.1/docs/get_started/)
    
    *   [Introduction](/v0.1/docs/get_started/introduction/)
    *   [Installation](/v0.1/docs/get_started/installation/)
    *   [Quickstart](/v0.1/docs/get_started/quickstart/)
*   [LangChain Expression Language](/v0.1/docs/expression_language/)
    
    *   [Get started](/v0.1/docs/expression_language/get_started/)
    *   [Why use LCEL?](/v0.1/docs/expression_language/why/)
    *   [Interface](/v0.1/docs/expression_language/interface/)
    *   [Streaming](/v0.1/docs/expression_language/streaming/)
    *   [How to](/v0.1/docs/expression_language/how_to/routing/)
        
    *   [Cookbook](/v0.1/docs/expression_language/cookbook/)
        
    *   [LangChain Expression Language (LCEL)](/v0.1/docs/expression_language/)
*   [Modules](/v0.1/docs/modules/)
    
    *   [Model I/O](/v0.1/docs/modules/model_io/)
        
    *   [Retrieval](/v0.1/docs/modules/data_connection/)
        
    *   [Chains](/v0.1/docs/modules/chains/)
    *   [Agents](/v0.1/docs/modules/agents/)
        
    *   [More](/v0.1/docs/modules/memory/)
        
*   [Security](/v0.1/docs/security/)
*   [Guides](/v0.1/docs/guides/)
    
*   [Ecosystem](/v0.1/docs/ecosystem/)
    
*   [LangGraph](/v0.1/docs/langgraph/)
*   * * *
    

*   [](/v0.1/)
*   [Get started](/v0.1/docs/get_started/)
*   Installation

On this page

Installation
============

Supported Environments[​](#supported-environments "Direct link to Supported Environments")
------------------------------------------------------------------------------------------

LangChain is written in TypeScript and can be used in:

*   Node.js (ESM and CommonJS) - 18.x, 19.x, 20.x
*   Cloudflare Workers
*   Vercel / Next.js (Browser, Serverless and Edge functions)
*   Supabase Edge Functions
*   Browser
*   Deno
*   Bun

However, note that individual integrations may not be supported in all environments.

Installation[​](#installation-1 "Direct link to Installation")
--------------------------------------------------------------

To get started, install LangChain with the following command:

*   npm
*   Yarn
*   pnpm

    npm install -S langchain

    yarn add langchain

    pnpm add langchain

### TypeScript[​](#typescript "Direct link to TypeScript")

LangChain is written in TypeScript and provides type definitions for all of its public APIs.

Installing integration packages[​](#installing-integration-packages "Direct link to Installing integration packages")
---------------------------------------------------------------------------------------------------------------------

LangChain supports packages that contain specific module integrations with third-party providers. They can be as specific as [`@langchain/google-genai`](/v0.1/docs/integrations/platforms/google/#chatgooglegenerativeai), which contains integrations just for Google AI Studio models, or as broad as [`@langchain/community`](https://www.npmjs.com/package/@langchain/community), which contains broader variety of community contributed integrations.

These packages, as well as the main LangChain package, all depend on [`@langchain/core`](https://www.npmjs.com/package/@langchain/core), which contains the base abstractions that these integration packages extend.

To ensure that all integrations and their types interact with each other properly, it is important that they all use the same version of `@langchain/core`. The best way to guarantee this is to add a `"resolutions"` or `"overrides"` field like the following in your project's `package.json`. The name will depend on your package manager:

tip

The `resolutions` or `pnpm.overrides` fields for `yarn` or `pnpm` must be set in the root `package.json` file.

If you are using `yarn`:

yarn package.json

    {  "name": "your-project",  "version": "0.0.0",  "private": true,  "engines": {    "node": ">=18"  },  "dependencies": {    "@langchain/google-genai": "^0.0.2",    "langchain": "0.0.207"  },  "resolutions": {    "@langchain/core": "0.1.5"  }}

Or for `npm`:

npm package.json

    {  "name": "your-project",  "version": "0.0.0",  "private": true,  "engines": {    "node": ">=18"  },  "dependencies": {    "@langchain/google-genai": "^0.0.2",    "langchain": "0.0.207"  },  "overrides": {    "@langchain/core": "0.1.5"  }}

Or for `pnpm`:

pnpm package.json

    {  "name": "your-project",  "version": "0.0.0",  "private": true,  "engines": {    "node": ">=18"  },  "dependencies": {    "@langchain/google-genai": "^0.0.2",    "langchain": "0.0.207"  },  "pnpm": {    "overrides": {      "@langchain/core": "0.1.5"    }  }}

### @langchain/community[​](#langchaincommunity "Direct link to @langchain/community")

The [@langchain/community](https://www.npmjs.com/package/@langchain/community) package contains third-party integrations. It is automatically installed along with `langchain`, but can also be used separately with just `@langchain/core`. Install with:

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

### @langchain/core[​](#langchaincore "Direct link to @langchain/core")

The [@langchain/core](https://www.npmjs.com/package/@langchain/core) package contains base abstractions that the rest of the LangChain ecosystem uses, along with the LangChain Expression Language. It is automatically installed along with `langchain`, but can also be used separately. Install with:

*   npm
*   Yarn
*   pnpm

    npm install @langchain/core

    yarn add @langchain/core

    pnpm add @langchain/core

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

Loading the library[​](#loading-the-library "Direct link to Loading the library")
---------------------------------------------------------------------------------

### ESM[​](#esm "Direct link to ESM")

LangChain provides an ESM build targeting Node.js environments. You can import it using the following syntax:

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai

    yarn add @langchain/openai

    pnpm add @langchain/openai

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

If you are using TypeScript in an ESM project we suggest updating your `tsconfig.json` to include the following:

tsconfig.json

    {  "compilerOptions": {    ...    "target": "ES2020", // or higher    "module": "nodenext",  }}

### CommonJS[​](#commonjs "Direct link to CommonJS")

LangChain provides a CommonJS build targeting Node.js environments. You can import it using the following syntax:

    const { OpenAI } = require("@langchain/openai");

### Cloudflare Workers[​](#cloudflare-workers "Direct link to Cloudflare Workers")

LangChain can be used in Cloudflare Workers. You can import it using the following syntax:

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

### Vercel / Next.js[​](#vercel--nextjs "Direct link to Vercel / Next.js")

LangChain can be used in Vercel / Next.js. We support using LangChain in frontend components, in Serverless functions and in Edge functions. You can import it using the following syntax:

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

### Deno / Supabase Edge Functions[​](#deno--supabase-edge-functions "Direct link to Deno / Supabase Edge Functions")

LangChain can be used in Deno / Supabase Edge Functions. You can import it using the following syntax:

    import { OpenAI } from "https://esm.sh/@langchain/openai";

or

    import { OpenAI } from "npm:@langchain/openai";

We recommend looking at our [Supabase Template](https://github.com/langchain-ai/langchain-template-supabase) for an example of how to use LangChain in Supabase Edge Functions.

### Browser[​](#browser "Direct link to Browser")

LangChain can be used in the browser. In our CI we test bundling LangChain with Webpack and Vite, but other bundlers should work too. You can import it using the following syntax:

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

Unsupported: Node.js 16[​](#unsupported-nodejs-16 "Direct link to Unsupported: Node.js 16")
-------------------------------------------------------------------------------------------

We do not support Node.js 16, but if you still want to run LangChain on Node.js 16, you will need to follow the instructions in this section. We do not guarantee that these instructions will continue to work in the future.

You will have to make `fetch` available globally, either:

*   run your application with `NODE_OPTIONS='--experimental-fetch' node ...`, or
*   install `node-fetch` and follow the instructions [here](https://github.com/node-fetch/node-fetch#providing-global-access)

You'll also need to [polyfill `ReadableStream`](https://www.npmjs.com/package/web-streams-polyfill) by installing:

*   npm
*   Yarn
*   pnpm

    npm i web-streams-polyfill

    yarn add web-streams-polyfill

    pnpm add web-streams-polyfill

And then adding it to the global namespace in your main entrypoint:

    import "web-streams-polyfill/es6";

Additionally you'll have to polyfill `structuredClone`, eg. by installing `core-js` and following the instructions [here](https://github.com/zloirock/core-js).

If you are running Node.js 18+, you do not need to do anything.

* * *

#### Help us out by providing feedback on this documentation page:

[

Previous

Introduction

](/v0.1/docs/get_started/introduction/)[

Next

Quickstart

](/v0.1/docs/get_started/quickstart/)

*   [Supported Environments](#supported-environments)
*   [Installation](#installation-1)
    *   [TypeScript](#typescript)
*   [Installing integration packages](#installing-integration-packages)
    *   [@langchain/community](#langchaincommunity)
    *   [@langchain/core](#langchaincore)
*   [Loading the library](#loading-the-library)
    *   [ESM](#esm)
    *   [CommonJS](#commonjs)
    *   [Cloudflare Workers](#cloudflare-workers)
    *   [Vercel / Next.js](#vercel--nextjs)
    *   [Deno / Supabase Edge Functions](#deno--supabase-edge-functions)
    *   [Browser](#browser)
*   [Unsupported: Node.js 16](#unsupported-nodejs-16)

Community

*   [Discord](https://discord.gg/cU2adEyC7w)
*   [Twitter](https://twitter.com/LangChainAI)

GitHub

*   [Python](https://github.com/langchain-ai/langchain)
*   [JS/TS](https://github.com/langchain-ai/langchainjs)

More

*   [Homepage](https://langchain.com)
*   [Blog](https://blog.langchain.dev)

Copyright © 2024 LangChain, Inc.