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Building applications with LLMs through composability āš”","repository":{"type":"git"},"author":{"name":"LangChain"},"license":"MIT","readme":"# šŸ¦œļøšŸ”— LangChain.js\n\nāš” Building applications with LLMs through composability āš”\n\n[![CI](https://github.com/hwchase17/langchainjs/actions/workflows/ci.yml/badge.svg)](https://github.com/hwchase17/langchainjs/actions/workflows/ci.yml) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai) [![](https://dcbadge.vercel.app/api/server/6adMQxSpJS?compact=true&style=flat)](https://discord.gg/6adMQxSpJS)\n\nLooking for the Python version? Check out [LangChain](https://github.com/hwchase17/langchain).\n\n**Production Support:** As you move your LangChains into production, we'd love to offer more comprehensive support.\nPlease fill out [this form](https://forms.gle/57d8AmXBYp8PP8tZA) and we'll set up a dedicated support Slack channel.\n\n## Quick Install\n\n`yarn add langchain`\n\n```typescript\nimport { OpenAI } from \"langchain/llms/openai\";\n```\n\n## Supported Environments\n\nLangChain is written in TypeScript and can be used in:\n\n- Node.js (ESM and CommonJS) - 18.x, 19.x, 20.x\n- Cloudflare Workers\n- Vercel / Next.js (Browser, Serverless and Edge functions)\n- Supabase Edge Functions\n- Browser\n- Deno\n\n## šŸ¤” What is this?\n\nLarge language models (LLMs) are emerging as a transformative technology, enabling\ndevelopers to build applications that they previously could not.\nBut using these LLMs in isolation is often not enough to\ncreate a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.\n\nThis library is aimed at assisting in the development of those types of applications.\n\n## šŸ“– Full Documentation\n\nFor full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/docs/).\n\n## Relationship with Python LangChain\n\nThis is built to integrate as seamlessly as possible with the [LangChain Python package](https://github.com/hwchase17/langchain). Specifically, this means all objects (prompts, LLMs, chains, etc) are designed in a way where they can be serialized and shared between languages.\n\nThe [LangChainHub](https://github.com/hwchase17/langchain-hub) is a central place for the serialized versions of these prompts, chains, and agents.\n\n## šŸ’ Contributing\n\nAs an open source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infra, or better documentation.\n\nCheck out [our contributing guidelines](CONTRIBUTING.md) for instructions on how to contribute.\n","readmeFilename":"README.md"}