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How to install LangChain packages

The LangChain ecosystem is split into different packages, which allow you to choose exactly which pieces of functionality to install.

Official release​

To install the main langchain package, run:

pip install langchain

While this package acts as a sane starting point to using LangChain, much of the value of LangChain comes when integrating it with various model providers, datastores, etc. By default, the dependencies needed to do that are NOT installed. You will need to install the dependencies for specific integrations separately, which we show below.

Ecosystem packages​

With the exception of the langsmith SDK, all packages in the LangChain ecosystem depend on langchain-core, which contains base classes and abstractions that other packages use. The dependency graph below shows how the difference packages are related. A directed arrow indicates that the source package depends on the target package:

When installing a package, you do not need to explicitly install that package's explicit dependencies (such as langchain-core). However, you may choose to if you are using a feature only available in a certain version of that dependency. If you do, you should make sure that the installed or pinned version is compatible with any other integration packages you use.

LangChain core​

The langchain-core package contains base abstractions that the rest of the LangChain ecosystem uses, along with the LangChain Expression Language. It is automatically installed by langchain, but can also be used separately. Install with:

pip install langchain-core

Integration packages​

Certain integrations like OpenAI and Anthropic have their own packages. Any integrations that require their own package will be documented as such in the Integration docs. You can see a list of all integration packages in the API reference under the "Partner libs" dropdown. To install one of these run:

pip install langchain-openai

Any integrations that haven't been split out into their own packages will live in the langchain-community package. Install with:

pip install langchain-community

LangChain experimental​

The langchain-experimental package holds experimental LangChain code, intended for research and experimental uses. Install with:

pip install langchain-experimental

LangGraph​

langgraph is a library for building stateful, multi-actor applications with LLMs. It integrates smoothly with LangChain, but can be used without it. Install with:

pip install langgraph

LangServe​

LangServe helps developers deploy LangChain runnables and chains as a REST API. LangServe is automatically installed by LangChain CLI. If not using LangChain CLI, install with:

pip install "langserve[all]"

for both client and server dependencies. Or pip install "langserve[client]" for client code, and pip install "langserve[server]" for server code.

LangChain CLI​

The LangChain CLI is useful for working with LangChain templates and other LangServe projects. Install with:

pip install langchain-cli

LangSmith SDK​

The LangSmith SDK is automatically installed by LangChain. However, it does not depend on langchain-core, and can be installed and used independently if desired. If you are not using LangChain, you can install it with:

pip install langsmith

From source​

If you want to install a package from source, you can do so by cloning the main LangChain repo, enter the directory of the package you want to install PATH/TO/REPO/langchain/libs/{package}, and run:

pip install -e .

LangGraph, LangSmith SDK, and certain integration packages live outside the main LangChain repo. You can see all repos here.

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