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108 lines
3.6 KiB
Plaintext
108 lines
3.6 KiB
Plaintext
---
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sidebar_position: 2
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---
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# How to install LangChain packages
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The LangChain ecosystem is split into different packages, which allow you to choose exactly which pieces of
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functionality to install.
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## Official release
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To install the main LangChain package, run:
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import CodeBlock from "@theme/CodeBlock";
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<Tabs>
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<TabItem value="pip" label="Pip" default>
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<CodeBlock language="bash">pip install langchain</CodeBlock>
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</TabItem>
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<TabItem value="conda" label="Conda">
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<CodeBlock language="bash">conda install langchain -c conda-forge</CodeBlock>
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</TabItem>
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</Tabs>
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While this package acts as a sane starting point to using LangChain,
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much of the value of LangChain comes when integrating it with various model providers, datastores, etc.
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By default, the dependencies needed to do that are NOT installed. You will need to install the dependencies for specific integrations separately.
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We'll show how to do that in the next sections of this guide.
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## Ecosystem packages
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With the exception of the `langsmith` SDK, all packages in the LangChain ecosystem depend on `langchain-core`, which contains base
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classes and abstractions that other packages use. The dependency graph below shows how the difference packages are related.
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A directed arrow indicates that the source package depends on the target package:
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When installing a package, you do not need to explicitly install that package's explicit dependencies (such as `langchain-core`).
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However, you may choose to if you are using a feature only available in a certain version of that dependency.
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If you do, you should make sure that the installed or pinned version is compatible with any other integration packages you use.
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### From source
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If 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:
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```bash
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pip install -e .
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```
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### LangChain core
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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:
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```bash
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pip install langchain-core
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```
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### LangChain community
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The `langchain-community` package contains third-party integrations. Install with:
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```bash
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pip install langchain-community
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```
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### LangChain experimental
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The `langchain-experimental` package holds experimental LangChain code, intended for research and experimental uses.
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Install with:
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```bash
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pip install langchain-experimental
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```
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### LangGraph
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`langgraph` is a library for building stateful, multi-actor applications with LLM. It integrates smoothly with LangChain, but can be used without it.
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Install with:
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```bash
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pip install langgraph
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```
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### LangServe
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LangServe helps developers deploy LangChain runnables and chains as a REST API.
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LangServe is automatically installed by LangChain CLI.
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If not using LangChain CLI, install with:
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```bash
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pip install "langserve[all]"
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```
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for both client and server dependencies. Or `pip install "langserve[client]"` for client code, and `pip install "langserve[server]"` for server code.
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## LangChain CLI
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The LangChain CLI is useful for working with LangChain templates and other LangServe projects.
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Install with:
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```bash
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pip install langchain-cli
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```
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### LangSmith SDK
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The LangSmith SDK is automatically installed by LangChain. However, it does not depend on
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`langchain-core`, and can be installed and used independently if desired.
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If you are not using LangChain, you can install it with:
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```bash
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pip install langsmith
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```
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