To install LangChain run:
conda install langchain -c conda-forge
This will install the bare minimum requirements of LangChain. A lot 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.
From sourceIf you want to install from source, you can do so by cloning the repo and be sure that the directory is PATH/TO/REPO/langchain/libs/langchain running:
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
The langchain-community package contains third-party integrations. It is automatically installed by langchain, but can also be used separately. Install with:
pip install langchain-community
The langchain-experimental package holds experimental LangChain code, intended for research and experimental uses. Install with:
pip install langchain-experimental
langgraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. Install with:
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.
The LangChain CLI is useful for working with LangChain templates and other LangServe projects. Install with:
pip install langchain-cli
The LangSmith SDK is automatically installed by LangChain. If not using LangChain, install with:
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