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dir=\"auto\"\u003e🦜️🔗 LangChain\u003c/h1\u003e\u003ca id=\"user-content-️-langchain\" class=\"anchor\" aria-label=\"Permalink: 🦜️🔗 LangChain\" href=\"#️-langchain\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e⚡ Build context-aware reasoning applications 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src=\"https://camo.githubusercontent.com/c11a4ab9212c5029f425ffcc8b7e96503b684fc9ddaf782bf094217a4fd64d74/68747470733a2f2f696d672e736869656c64732e696f2f707970692f6c2f6c616e67636861696e2d636f72653f7374796c653d666c61742d737175617265\" alt=\"PyPI - License\" data-canonical-src=\"https://img.shields.io/pypi/l/langchain-core?style=flat-square\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://pypistats.org/packages/langchain-core\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/4d8dab9ad311d70f41203de5d42d818c679d5d59bcba0200f262f934ae4dbaf6/68747470733a2f2f696d672e736869656c64732e696f2f707970692f646d2f6c616e67636861696e2d636f72653f7374796c653d666c61742d737175617265\" alt=\"PyPI - Downloads\" data-canonical-src=\"https://img.shields.io/pypi/dm/langchain-core?style=flat-square\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://star-history.com/#langchain-ai/langchain\" rel=\"nofollow\"\u003e\u003cimg 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href=\"https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langchain-ai/langchain\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/45e9addd26ffda5e9fd54b1390f4419b1b1dbe4cdbbef267ebac1661705d2cb9/68747470733a2f2f696d672e736869656c64732e696f2f7374617469632f76313f6c6162656c3d446576253230436f6e7461696e657273266d6573736167653d4f70656e26636f6c6f723d626c7565266c6f676f3d76697375616c73747564696f636f6465267374796c653d666c61742d737175617265\" alt=\"Open in Dev Containers\" data-canonical-src=\"https://img.shields.io/static/v1?label=Dev%20Containers\u0026amp;message=Open\u0026amp;color=blue\u0026amp;logo=visualstudiocode\u0026amp;style=flat-square\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://codespaces.new/langchain-ai/langchain\" rel=\"nofollow\"\u003e\u003cimg src=\"https://github.com/codespaces/badge.svg\" alt=\"Open in GitHub Codespaces\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://twitter.com/langchainai\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/4dcbdca1cef6d6a3176ae1c41ff677586ca10c970626d4602caa031edb9f1dff/68747470733a2f2f696d672e736869656c64732e696f2f747769747465722f75726c2f68747470732f747769747465722e636f6d2f6c616e67636861696e61692e7376673f7374796c653d736f6369616c266c6162656c3d466f6c6c6f772532302534304c616e67436861696e4149\" alt=\"Twitter\" data-canonical-src=\"https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social\u0026amp;label=Follow%20%40LangChainAI\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eLooking for the JS/TS library? Check out \u003ca href=\"https://github.com/langchain-ai/langchainjs\"\u003eLangChain.js\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo help you ship LangChain apps to production faster, check out \u003ca href=\"https://smith.langchain.com\" rel=\"nofollow\"\u003eLangSmith\u003c/a\u003e.\n\u003ca href=\"https://smith.langchain.com\" rel=\"nofollow\"\u003eLangSmith\u003c/a\u003e is a unified developer platform for building, testing, and monitoring LLM applications.\nFill out \u003ca href=\"https://www.langchain.com/contact-sales\" rel=\"nofollow\"\u003ethis form\u003c/a\u003e to speak with our sales team.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuick Install\u003c/h2\u003e\u003ca id=\"user-content-quick-install\" class=\"anchor\" aria-label=\"Permalink: Quick Install\" href=\"#quick-install\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWith pip:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install langchain\"\u003e\u003cpre\u003epip install langchain\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWith conda:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"conda install langchain -c conda-forge\"\u003e\u003cpre\u003econda install langchain -c conda-forge\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🤔 What is LangChain?\u003c/h2\u003e\u003ca id=\"user-content--what-is-langchain\" class=\"anchor\" aria-label=\"Permalink: 🤔 What is LangChain?\" href=\"#-what-is-langchain\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eLangChain\u003c/strong\u003e is a framework for developing applications powered by large language models (LLMs).\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor these applications, LangChain simplifies the entire application lifecycle:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eOpen-source libraries\u003c/strong\u003e: Build your applications using LangChain's open-source \u003ca href=\"https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel\" rel=\"nofollow\"\u003ebuilding blocks\u003c/a\u003e, \u003ca href=\"https://python.langchain.com/docs/concepts/\" rel=\"nofollow\"\u003ecomponents\u003c/a\u003e, and \u003ca href=\"https://python.langchain.com/docs/integrations/providers/\" rel=\"nofollow\"\u003ethird-party integrations\u003c/a\u003e.\nUse \u003ca href=\"https://langchain-ai.github.io/langgraph/\" rel=\"nofollow\"\u003eLangGraph\u003c/a\u003e to build stateful agents with first-class streaming and human-in-the-loop support.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eProductionization\u003c/strong\u003e: Inspect, monitor, and evaluate your apps with \u003ca href=\"https://docs.smith.langchain.com/\" rel=\"nofollow\"\u003eLangSmith\u003c/a\u003e so that you can constantly optimize and deploy with confidence.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eDeployment\u003c/strong\u003e: Turn your LangGraph applications into production-ready APIs and Assistants with \u003ca href=\"https://langchain-ai.github.io/langgraph/cloud/\" rel=\"nofollow\"\u003eLangGraph Cloud\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOpen-source libraries\u003c/h3\u003e\u003ca id=\"user-content-open-source-libraries\" class=\"anchor\" aria-label=\"Permalink: Open-source libraries\" href=\"#open-source-libraries\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ccode\u003elangchain-core\u003c/code\u003e\u003c/strong\u003e: Base abstractions and LangChain Expression Language.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ccode\u003elangchain-community\u003c/code\u003e\u003c/strong\u003e: Third party integrations.\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eSome integrations have been further split into \u003cstrong\u003epartner packages\u003c/strong\u003e that only rely on \u003cstrong\u003e\u003ccode\u003elangchain-core\u003c/code\u003e\u003c/strong\u003e. Examples include \u003cstrong\u003e\u003ccode\u003elangchain_openai\u003c/code\u003e\u003c/strong\u003e and \u003cstrong\u003e\u003ccode\u003elangchain_anthropic\u003c/code\u003e\u003c/strong\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ccode\u003elangchain\u003c/code\u003e\u003c/strong\u003e: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://langchain-ai.github.io/langgraph/\" rel=\"nofollow\"\u003e\u003ccode\u003eLangGraph\u003c/code\u003e\u003c/a\u003e\u003c/strong\u003e: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, \u003cem\u003eIntroduction to LangGraph\u003c/em\u003e, available \u003ca href=\"https://academy.langchain.com/courses/intro-to-langgraph\" rel=\"nofollow\"\u003ehere\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eProductionization:\u003c/h3\u003e\u003ca id=\"user-content-productionization\" class=\"anchor\" aria-label=\"Permalink: Productionization:\" href=\"#productionization\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://docs.smith.langchain.com/\" rel=\"nofollow\"\u003eLangSmith\u003c/a\u003e\u003c/strong\u003e: A developer platform that lets you debug, test, evaluate, and monitor chains built on any LLM framework and seamlessly integrates with LangChain.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDeployment:\u003c/h3\u003e\u003ca id=\"user-content-deployment\" class=\"anchor\" aria-label=\"Permalink: Deployment:\" href=\"#deployment\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://langchain-ai.github.io/langgraph/cloud/\" rel=\"nofollow\"\u003eLangGraph Cloud\u003c/a\u003e\u003c/strong\u003e: Turn your LangGraph applications into production-ready APIs and Assistants.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/langchain-ai/langchain/blob/master/docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only\"\u003e\u003cimg src=\"/langchain-ai/langchain/raw/master/docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only\" alt=\"Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.\" title=\"LangChain Architecture Overview\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/langchain-ai/langchain/blob/master/docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only\"\u003e\u003cimg src=\"/langchain-ai/langchain/raw/master/docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only\" alt=\"Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.\" title=\"LangChain Architecture Overview\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🧱 What can you build with LangChain?\u003c/h2\u003e\u003ca id=\"user-content--what-can-you-build-with-langchain\" class=\"anchor\" aria-label=\"Permalink: 🧱 What can you build with LangChain?\" href=\"#-what-can-you-build-with-langchain\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e❓ Question answering with RAG\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/tutorials/rag/\" rel=\"nofollow\"\u003eDocumentation\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eEnd-to-end Example: \u003ca href=\"https://chat.langchain.com\" rel=\"nofollow\"\u003eChat LangChain\u003c/a\u003e and \u003ca href=\"https://github.com/langchain-ai/chat-langchain\"\u003erepo\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e🧱 Extracting structured output\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/tutorials/extraction/\" rel=\"nofollow\"\u003eDocumentation\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eEnd-to-end Example: \u003ca href=\"https://github.com/langchain-ai/langchain-extract/\"\u003eSQL Llama2 Template\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e🤖 Chatbots\u003c/strong\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/tutorials/chatbot/\" rel=\"nofollow\"\u003eDocumentation\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003eEnd-to-end Example: \u003ca href=\"https://weblangchain.vercel.app\" rel=\"nofollow\"\u003eWeb LangChain (web researcher chatbot)\u003c/a\u003e and \u003ca href=\"https://github.com/langchain-ai/weblangchain\"\u003erepo\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eAnd much more! Head to the \u003ca href=\"https://python.langchain.com/docs/tutorials/\" rel=\"nofollow\"\u003eTutorials\u003c/a\u003e section of the docs for more.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🚀 How does LangChain help?\u003c/h2\u003e\u003ca id=\"user-content--how-does-langchain-help\" class=\"anchor\" aria-label=\"Permalink: 🚀 How does LangChain help?\" href=\"#-how-does-langchain-help\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe main value props of the LangChain libraries are:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003eComponents\u003c/strong\u003e: composable building blocks, tools and integrations for working with language models. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eOff-the-shelf chains\u003c/strong\u003e: built-in assemblages of components for accomplishing higher-level tasks\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003eOff-the-shelf chains make it easy to get started. Components make it easy to customize existing chains and build new ones.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLangChain Expression Language (LCEL)\u003c/h2\u003e\u003ca id=\"user-content-langchain-expression-language-lcel\" class=\"anchor\" aria-label=\"Permalink: LangChain Expression Language (LCEL)\" href=\"#langchain-expression-language-lcel\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eLCEL is a key part of LangChain, allowing you to build and organize chains of processes in a straightforward, declarative manner. It was designed to support taking prototypes directly into production without needing to alter any code. This means you can use LCEL to set up everything from basic \"prompt + LLM\" setups to intricate, multi-step workflows.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel\" rel=\"nofollow\"\u003eOverview\u003c/a\u003e\u003c/strong\u003e: LCEL and its benefits\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://python.langchain.com/docs/concepts/#runnable-interface\" rel=\"nofollow\"\u003eInterface\u003c/a\u003e\u003c/strong\u003e: The standard Runnable interface for LCEL objects\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://python.langchain.com/docs/how_to/#langchain-expression-language-lcel\" rel=\"nofollow\"\u003ePrimitives\u003c/a\u003e\u003c/strong\u003e: More on the primitives LCEL includes\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e\u003ca href=\"https://python.langchain.com/docs/how_to/lcel_cheatsheet/\" rel=\"nofollow\"\u003eCheatsheet\u003c/a\u003e\u003c/strong\u003e: Quick overview of the most common usage patterns\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eComponents\u003c/h2\u003e\u003ca id=\"user-content-components\" class=\"anchor\" aria-label=\"Permalink: Components\" href=\"#components\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eComponents fall into the following \u003cstrong\u003emodules\u003c/strong\u003e:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e📃 Model I/O\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis includes \u003ca href=\"https://python.langchain.com/docs/concepts/#prompt-templates\" rel=\"nofollow\"\u003eprompt management\u003c/a\u003e, \u003ca href=\"https://python.langchain.com/docs/concepts/#example-selectors\" rel=\"nofollow\"\u003eprompt optimization\u003c/a\u003e, a generic interface for \u003ca href=\"https://python.langchain.com/docs/concepts/#chat-models\" rel=\"nofollow\"\u003echat models\u003c/a\u003e and \u003ca href=\"https://python.langchain.com/docs/concepts/#llms\" rel=\"nofollow\"\u003eLLMs\u003c/a\u003e, and common utilities for working with \u003ca href=\"https://python.langchain.com/docs/concepts/#output-parsers\" rel=\"nofollow\"\u003emodel outputs\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e📚 Retrieval\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eRetrieval Augmented Generation involves \u003ca href=\"https://python.langchain.com/docs/concepts/#document-loaders\" rel=\"nofollow\"\u003eloading data\u003c/a\u003e from a variety of sources, \u003ca href=\"https://python.langchain.com/docs/concepts/#text-splitters\" rel=\"nofollow\"\u003epreparing it\u003c/a\u003e, then \u003ca href=\"https://python.langchain.com/docs/concepts/#retrievers\" rel=\"nofollow\"\u003esearching over (a.k.a. retrieving from)\u003c/a\u003e it for use in the generation step.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003e🤖 Agents\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAgents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a \u003ca href=\"https://python.langchain.com/docs/concepts/#agents\" rel=\"nofollow\"\u003estandard interface for agents\u003c/a\u003e, along with \u003ca href=\"https://github.com/langchain-ai/langgraph\"\u003eLangGraph\u003c/a\u003e for building custom agents.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e📖 Documentation\u003c/h2\u003e\u003ca id=\"user-content--documentation\" class=\"anchor\" aria-label=\"Permalink: 📖 Documentation\" href=\"#-documentation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ePlease see \u003ca href=\"https://python.langchain.com\" rel=\"nofollow\"\u003ehere\u003c/a\u003e for full documentation, which includes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/introduction/\" rel=\"nofollow\"\u003eIntroduction\u003c/a\u003e: Overview of the framework and the structure of the docs.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/tutorials/\" rel=\"nofollow\"\u003eTutorials\u003c/a\u003e: If you're looking to build something specific or are more of a hands-on learner, check out our tutorials. This is the best place to get started.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/how_to/\" rel=\"nofollow\"\u003eHow-to guides\u003c/a\u003e: Answers to “How do I….?” type questions. These guides are goal-oriented and concrete; they're meant to help you complete a specific task.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://python.langchain.com/docs/concepts/\" rel=\"nofollow\"\u003eConceptual guide\u003c/a\u003e: Conceptual explanations of the key parts of the framework.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://api.python.langchain.com\" rel=\"nofollow\"\u003eAPI Reference\u003c/a\u003e: Thorough documentation of every class and method.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🌐 Ecosystem\u003c/h2\u003e\u003ca id=\"user-content--ecosystem\" class=\"anchor\" aria-label=\"Permalink: 🌐 Ecosystem\" href=\"#-ecosystem\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://docs.smith.langchain.com/\" rel=\"nofollow\"\u003e🦜🛠️ LangSmith\u003c/a\u003e: Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://langchain-ai.github.io/langgraph/\" rel=\"nofollow\"\u003e🦜🕸️ LangGraph\u003c/a\u003e: Create stateful, multi-actor applications with LLMs. Integrates smoothly with LangChain, but can be used without it.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform\" rel=\"nofollow\"\u003e🦜🕸️ LangGraph Platform\u003c/a\u003e: Deploy LLM applications built with LangGraph into production.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e💁 Contributing\u003c/h2\u003e\u003ca id=\"user-content--contributing\" class=\"anchor\" aria-label=\"Permalink: 💁 Contributing\" href=\"#-contributing\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAs 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 infrastructure, or better documentation.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor detailed information on how to contribute, see \u003ca href=\"https://python.langchain.com/docs/contributing/\" rel=\"nofollow\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🌟 Contributors\u003c/h2\u003e\u003ca id=\"user-content--contributors\" class=\"anchor\" aria-label=\"Permalink: 🌟 Contributors\" href=\"#-contributors\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/langchain-ai/langchain/graphs/contributors\"\u003e\u003cimg 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dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">🦜️🔗 LangChain</h1><a id="user-content-️-langchain" class="anchor" aria-label="Permalink: 🦜️🔗 LangChain" href="#️-langchain"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">⚡ Build context-aware reasoning applications ⚡</p> <p dir="auto"><a href="https://github.com/langchain-ai/langchain/releases"><img 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src="https://camo.githubusercontent.com/4dcbdca1cef6d6a3176ae1c41ff677586ca10c970626d4602caa031edb9f1dff/68747470733a2f2f696d672e736869656c64732e696f2f747769747465722f75726c2f68747470732f747769747465722e636f6d2f6c616e67636861696e61692e7376673f7374796c653d736f6369616c266c6162656c3d466f6c6c6f772532302534304c616e67436861696e4149" alt="Twitter" data-canonical-src="https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI" style="max-width: 100%;"></a></p> <p dir="auto">Looking for the JS/TS library? Check out <a href="https://github.com/langchain-ai/langchainjs">LangChain.js</a>.</p> <p dir="auto">To help you ship LangChain apps to production faster, check out <a href="https://smith.langchain.com" rel="nofollow">LangSmith</a>. <a href="https://smith.langchain.com" rel="nofollow">LangSmith</a> is a unified developer platform for building, testing, and monitoring LLM applications. Fill out <a href="https://www.langchain.com/contact-sales" rel="nofollow">this form</a> to speak with our sales team.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Quick Install</h2><a id="user-content-quick-install" class="anchor" aria-label="Permalink: Quick Install" href="#quick-install"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">With pip:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install langchain"><pre>pip install langchain</pre></div> <p dir="auto">With conda:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="conda install langchain -c conda-forge"><pre>conda install langchain -c conda-forge</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">🤔 What is LangChain?</h2><a id="user-content--what-is-langchain" class="anchor" aria-label="Permalink: 🤔 What is LangChain?" href="#-what-is-langchain"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>LangChain</strong> is a framework for developing applications powered by large language models (LLMs).</p> <p dir="auto">For these applications, LangChain simplifies the entire application lifecycle:</p> <ul dir="auto"> <li><strong>Open-source libraries</strong>: Build your applications using LangChain's open-source <a href="https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel" rel="nofollow">building blocks</a>, <a href="https://python.langchain.com/docs/concepts/" rel="nofollow">components</a>, and <a href="https://python.langchain.com/docs/integrations/providers/" rel="nofollow">third-party integrations</a>. Use <a href="https://langchain-ai.github.io/langgraph/" rel="nofollow">LangGraph</a> to build stateful agents with first-class streaming and human-in-the-loop support.</li> <li><strong>Productionization</strong>: Inspect, monitor, and evaluate your apps with <a href="https://docs.smith.langchain.com/" rel="nofollow">LangSmith</a> so that you can constantly optimize and deploy with confidence.</li> <li><strong>Deployment</strong>: Turn your LangGraph applications into production-ready APIs and Assistants with <a href="https://langchain-ai.github.io/langgraph/cloud/" rel="nofollow">LangGraph Cloud</a>.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Open-source libraries</h3><a id="user-content-open-source-libraries" class="anchor" aria-label="Permalink: Open-source libraries" href="#open-source-libraries"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><strong><code>langchain-core</code></strong>: Base abstractions and LangChain Expression Language.</li> <li><strong><code>langchain-community</code></strong>: Third party integrations. <ul dir="auto"> <li>Some integrations have been further split into <strong>partner packages</strong> that only rely on <strong><code>langchain-core</code></strong>. Examples include <strong><code>langchain_openai</code></strong> and <strong><code>langchain_anthropic</code></strong>.</li> </ul> </li> <li><strong><code>langchain</code></strong>: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.</li> <li><strong><a href="https://langchain-ai.github.io/langgraph/" rel="nofollow"><code>LangGraph</code></a></strong>: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, <em>Introduction to LangGraph</em>, available <a href="https://academy.langchain.com/courses/intro-to-langgraph" rel="nofollow">here</a>.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Productionization:</h3><a id="user-content-productionization" class="anchor" aria-label="Permalink: Productionization:" href="#productionization"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><strong><a href="https://docs.smith.langchain.com/" rel="nofollow">LangSmith</a></strong>: A developer platform that lets you debug, test, evaluate, and monitor chains built on any LLM framework and seamlessly integrates with LangChain.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Deployment:</h3><a id="user-content-deployment" class="anchor" aria-label="Permalink: Deployment:" href="#deployment"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><strong><a href="https://langchain-ai.github.io/langgraph/cloud/" rel="nofollow">LangGraph Cloud</a></strong>: Turn your LangGraph applications into production-ready APIs and Assistants.</li> </ul> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/langchain-ai/langchain/blob/master/docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only"><img src="/langchain-ai/langchain/raw/master/docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only" alt="Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers." title="LangChain Architecture Overview" style="max-width: 100%;"></a> <a target="_blank" rel="noopener noreferrer" href="/langchain-ai/langchain/blob/master/docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only"><img src="/langchain-ai/langchain/raw/master/docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only" alt="Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers." title="LangChain Architecture Overview" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">🧱 What can you build with LangChain?</h2><a id="user-content--what-can-you-build-with-langchain" class="anchor" aria-label="Permalink: 🧱 What can you build with LangChain?" href="#-what-can-you-build-with-langchain"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>❓ Question answering with RAG</strong></p> <ul dir="auto"> <li><a href="https://python.langchain.com/docs/tutorials/rag/" rel="nofollow">Documentation</a></li> <li>End-to-end Example: <a href="https://chat.langchain.com" rel="nofollow">Chat LangChain</a> and <a href="https://github.com/langchain-ai/chat-langchain">repo</a></li> </ul> <p dir="auto"><strong>🧱 Extracting structured output</strong></p> <ul dir="auto"> <li><a href="https://python.langchain.com/docs/tutorials/extraction/" rel="nofollow">Documentation</a></li> <li>End-to-end Example: <a href="https://github.com/langchain-ai/langchain-extract/">SQL Llama2 Template</a></li> </ul> <p dir="auto"><strong>🤖 Chatbots</strong></p> <ul dir="auto"> <li><a href="https://python.langchain.com/docs/tutorials/chatbot/" rel="nofollow">Documentation</a></li> <li>End-to-end Example: <a href="https://weblangchain.vercel.app" rel="nofollow">Web LangChain (web researcher chatbot)</a> and <a href="https://github.com/langchain-ai/weblangchain">repo</a></li> </ul> <p dir="auto">And much more! Head to the <a href="https://python.langchain.com/docs/tutorials/" rel="nofollow">Tutorials</a> section of the docs for more.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">🚀 How does LangChain help?</h2><a id="user-content--how-does-langchain-help" class="anchor" aria-label="Permalink: 🚀 How does LangChain help?" href="#-how-does-langchain-help"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The main value props of the LangChain libraries are:</p> <ol dir="auto"> <li><strong>Components</strong>: composable building blocks, tools and integrations for working with language models. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not</li> <li><strong>Off-the-shelf chains</strong>: built-in assemblages of components for accomplishing higher-level tasks</li> </ol> <p dir="auto">Off-the-shelf chains make it easy to get started. Components make it easy to customize existing chains and build new ones.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">LangChain Expression Language (LCEL)</h2><a id="user-content-langchain-expression-language-lcel" class="anchor" aria-label="Permalink: LangChain Expression Language (LCEL)" href="#langchain-expression-language-lcel"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">LCEL is a key part of LangChain, allowing you to build and organize chains of processes in a straightforward, declarative manner. It was designed to support taking prototypes directly into production without needing to alter any code. This means you can use LCEL to set up everything from basic "prompt + LLM" setups to intricate, multi-step workflows.</p> <ul dir="auto"> <li><strong><a href="https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel" rel="nofollow">Overview</a></strong>: LCEL and its benefits</li> <li><strong><a href="https://python.langchain.com/docs/concepts/#runnable-interface" rel="nofollow">Interface</a></strong>: The standard Runnable interface for LCEL objects</li> <li><strong><a href="https://python.langchain.com/docs/how_to/#langchain-expression-language-lcel" rel="nofollow">Primitives</a></strong>: More on the primitives LCEL includes</li> <li><strong><a href="https://python.langchain.com/docs/how_to/lcel_cheatsheet/" rel="nofollow">Cheatsheet</a></strong>: Quick overview of the most common usage patterns</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Components</h2><a id="user-content-components" class="anchor" aria-label="Permalink: Components" href="#components"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Components fall into the following <strong>modules</strong>:</p> <p dir="auto"><strong>📃 Model I/O</strong></p> <p dir="auto">This includes <a href="https://python.langchain.com/docs/concepts/#prompt-templates" rel="nofollow">prompt management</a>, <a href="https://python.langchain.com/docs/concepts/#example-selectors" rel="nofollow">prompt optimization</a>, a generic interface for <a href="https://python.langchain.com/docs/concepts/#chat-models" rel="nofollow">chat models</a> and <a href="https://python.langchain.com/docs/concepts/#llms" rel="nofollow">LLMs</a>, and common utilities for working with <a href="https://python.langchain.com/docs/concepts/#output-parsers" rel="nofollow">model outputs</a>.</p> <p dir="auto"><strong>📚 Retrieval</strong></p> <p dir="auto">Retrieval Augmented Generation involves <a href="https://python.langchain.com/docs/concepts/#document-loaders" rel="nofollow">loading data</a> from a variety of sources, <a href="https://python.langchain.com/docs/concepts/#text-splitters" rel="nofollow">preparing it</a>, then <a href="https://python.langchain.com/docs/concepts/#retrievers" rel="nofollow">searching over (a.k.a. retrieving from)</a> it for use in the generation step.</p> <p dir="auto"><strong>🤖 Agents</strong></p> <p dir="auto">Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a <a href="https://python.langchain.com/docs/concepts/#agents" rel="nofollow">standard interface for agents</a>, along with <a href="https://github.com/langchain-ai/langgraph">LangGraph</a> for building custom agents.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">📖 Documentation</h2><a id="user-content--documentation" class="anchor" aria-label="Permalink: 📖 Documentation" href="#-documentation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Please see <a href="https://python.langchain.com" rel="nofollow">here</a> for full documentation, which includes:</p> <ul dir="auto"> <li><a href="https://python.langchain.com/docs/introduction/" rel="nofollow">Introduction</a>: Overview of the framework and the structure of the docs.</li> <li><a href="https://python.langchain.com/docs/tutorials/" rel="nofollow">Tutorials</a>: If you're looking to build something specific or are more of a hands-on learner, check out our tutorials. This is the best place to get started.</li> <li><a href="https://python.langchain.com/docs/how_to/" rel="nofollow">How-to guides</a>: Answers to “How do I….?” type questions. These guides are goal-oriented and concrete; they're meant to help you complete a specific task.</li> <li><a href="https://python.langchain.com/docs/concepts/" rel="nofollow">Conceptual guide</a>: Conceptual explanations of the key parts of the framework.</li> <li><a href="https://api.python.langchain.com" rel="nofollow">API Reference</a>: Thorough documentation of every class and method.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">🌐 Ecosystem</h2><a id="user-content--ecosystem" class="anchor" aria-label="Permalink: 🌐 Ecosystem" href="#-ecosystem"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><a href="https://docs.smith.langchain.com/" rel="nofollow">🦜🛠️ LangSmith</a>: Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.</li> <li><a href="https://langchain-ai.github.io/langgraph/" rel="nofollow">🦜🕸️ LangGraph</a>: Create stateful, multi-actor applications with LLMs. Integrates smoothly with LangChain, but can be used without it.</li> <li><a href="https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform" rel="nofollow">🦜🕸️ LangGraph Platform</a>: Deploy LLM applications built with LangGraph into production.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">💁 Contributing</h2><a id="user-content--contributing" class="anchor" aria-label="Permalink: 💁 Contributing" href="#-contributing"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">As 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 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2.366-2.717a.12.12 0 0 0 0-.136c-.412-.621-1.242-1.75-2.366-2.717C10.824 4.242 9.473 3.5 8 3.5c-1.473 0-2.825.742-3.955 1.715-1.124.967-1.954 2.096-2.366 2.717ZM8 10a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 10Z"></path> </svg> <strong>693</strong> watching </a> </div> <h3 class="sr-only">Forks</h3> <div class="mt-2"> <a href="/langchain-ai/langchain/forks" data-view-component="true" class="Link Link--muted"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg> <strong>15.5k</strong> forks </a> </div> <div class="mt-2"> <a class="Link--muted" href="/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Flangchain&report=langchain-ai+%28user%29"> Report repository </a> </div> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame"> <a href="/langchain-ai/langchain/releases" data-view-component="true" class="Link--primary no-underline Link"> Releases <span title="707" data-view-component="true" class="Counter">707</span> </a></h2> <a class="Link--primary d-flex no-underline" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/langchain-ai/langchain/releases/tag/langchain-core%3D%3D0.3.21"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-tag flex-shrink-0 mt-1 color-fg-success"> <path d="M1 7.775V2.75C1 1.784 1.784 1 2.75 1h5.025c.464 0 .91.184 1.238.513l6.25 6.25a1.75 1.75 0 0 1 0 2.474l-5.026 5.026a1.75 1.75 0 0 1-2.474 0l-6.25-6.25A1.752 1.752 0 0 1 1 7.775Zm1.5 0c0 .066.026.13.073.177l6.25 6.25a.25.25 0 0 0 .354 0l5.025-5.025a.25.25 0 0 0 0-.354l-6.25-6.25a.25.25 0 0 0-.177-.073H2.75a.25.25 0 0 0-.25.25ZM6 5a1 1 0 1 1 0 2 1 1 0 0 1 0-2Z"></path> </svg> <div class="ml-2 min-width-0"> <div class="d-flex"> <span class="css-truncate css-truncate-target text-bold mr-2" style="max-width: none;">langchain-core==0.3.21</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2024-11-23T12:53:27Z" class="no-wrap">Nov 23, 2024</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/langchain-ai/langchain/releases" data-view-component="true" class="Link"> + 706 releases </a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/orgs/langchain-ai/packages?repo_name=langchain" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center"> Packages <span title="0" hidden="hidden" data-view-component="true" class="Counter ml-1">0</span> </a></h2> <div class="text-small color-fg-muted" > No packages published <br> </div> </div> </div> <div class="BorderGrid-row" > <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/langchain-ai/langchain/network/dependents" data-view-component="true" class="Link--primary no-underline Link"> Used by <span title="150,304" data-view-component="true" class="Counter">150k</span> </a> </h2> <a class="d-flex flex-items-center" href="/langchain-ai/langchain/network/dependents"> <ul class="hx_flex-avatar-stack list-style-none min-width-0"> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/10074379?s=64&v=4" width="32" height="32" alt="@teddylee777" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/84637420?s=64&v=4" width="32" height="32" alt="@Prashant-Baliyan" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/24946322?s=64&v=4" width="32" height="32" alt="@jimmyshah83" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/105248927?s=64&v=4" width="32" height="32" alt="@unclealek" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/63034017?s=64&v=4" width="32" height="32" alt="@ivansnow02" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/37648170?s=64&v=4" width="32" height="32" alt="@falaqm" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/5827727?s=64&v=4" width="32" height="32" alt="@NikDrosakis" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/143714867?s=64&v=4" width="32" height="32" alt="@arudzheri" /> </li> </ul> <span class="px-2 text-bold text-small no-wrap"> + 150,296 </span> </a> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/langchain-ai/langchain/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center"> Contributors <span title="3,263" data-view-component="true" class="Counter ml-1">3,263</span> </a></h2> <ul class="list-style-none d-flex flex-wrap mb-n2"> <li class="mb-2 mr-2" > <a href="https://github.com/baskaryan" class="" data-hovercard-type="user" data-hovercard-url="/users/baskaryan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/22008038?s=64&v=4" alt="@baskaryan" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/hwchase17" class="" data-hovercard-type="user" data-hovercard-url="/users/hwchase17/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/11986836?s=64&v=4" alt="@hwchase17" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/efriis" class="" data-hovercard-type="user" data-hovercard-url="/users/efriis/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/9557659?s=64&v=4" alt="@efriis" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/eyurtsev" class="" data-hovercard-type="user" data-hovercard-url="/users/eyurtsev/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/3205522?s=64&v=4" alt="@eyurtsev" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/ccurme" class="" data-hovercard-type="user" data-hovercard-url="/users/ccurme/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/26529506?s=64&v=4" alt="@ccurme" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/nfcampos" class="" data-hovercard-type="user" data-hovercard-url="/users/nfcampos/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/56902?s=64&v=4" alt="@nfcampos" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/leo-gan" class="" data-hovercard-type="user" data-hovercard-url="/users/leo-gan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/2256422?s=64&v=4" alt="@leo-gan" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/hinthornw" class="" data-hovercard-type="user" data-hovercard-url="/users/hinthornw/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/13333726?s=64&v=4" alt="@hinthornw" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/dev2049" class="" data-hovercard-type="user" data-hovercard-url="/users/dev2049/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/130488702?s=64&v=4" alt="@dev2049" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/rlancemartin" class="" data-hovercard-type="user" data-hovercard-url="/users/rlancemartin/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/122662504?s=64&v=4" alt="@rlancemartin" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/cbornet" class="" data-hovercard-type="user" data-hovercard-url="/users/cbornet/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/11633333?s=64&v=4" alt="@cbornet" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/vowelparrot" class="" data-hovercard-type="user" data-hovercard-url="/users/vowelparrot/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/130414180?s=64&v=4" alt="@vowelparrot" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/jacoblee93" class="" data-hovercard-type="user" data-hovercard-url="/users/jacoblee93/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/6952323?s=64&v=4" alt="@jacoblee93" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/tomasonjo" class="" data-hovercard-type="user" data-hovercard-url="/users/tomasonjo/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/19948365?s=64&v=4" alt="@tomasonjo" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> </ul> <div data-view-component="true" class="mt-3"> <a text="small" href="/langchain-ai/langchain/graphs/contributors" data-view-component="true" class="Link--inTextBlock Link"> + 3,249 contributors </a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3">Languages</h2> <div class="mb-2"> <span data-view-component="true" class="Progress"> <span style="background-color:#DA5B0B !important;;width: 62.9%;" itemprop="keywords" aria-label="Jupyter Notebook 62.9" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#3572A5 !important;;width: 36.9%;" itemprop="keywords" aria-label="Python 36.9" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#fcb32c !important;;width: 0.1%;" itemprop="keywords" aria-label="MDX 0.1" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#427819 !important;;width: 0.1%;" itemprop="keywords" aria-label="Makefile 0.1" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#89e051 !important;;width: 0.0%;" itemprop="keywords" aria-label="Shell 0.0" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#EB8CEB !important;;width: 0.0%;" itemprop="keywords" aria-label="XSLT 0.0" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> </span></div> <ul class="list-style-none"> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=jupyter-notebook" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#DA5B0B;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Jupyter Notebook</span> <span>62.9%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=python" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#3572A5;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Python</span> <span>36.9%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=mdx" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#fcb32c;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">MDX</span> <span>0.1%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=makefile" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#427819;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Makefile</span> <span>0.1%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=shell" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#89e051;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Shell</span> <span>0.0%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/langchain-ai/langchain/search?l=xslt" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#EB8CEB;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">XSLT</span> <span>0.0%</span> </a> </li> </ul> </div> </div> </div> </div> </div></div> </div> </div> </turbo-frame> </main> </div> </div> <footer class="footer pt-8 pb-6 f6 color-fg-muted p-responsive" role="contentinfo" > <h2 class='sr-only'>Footer</h2> <div class="d-flex 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