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docs: installation nits (#24484)
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@ -9,7 +9,7 @@ functionality to install.
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## Official release
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To install the main LangChain package, run:
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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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@ -26,8 +26,7 @@ import CodeBlock from "@theme/CodeBlock";
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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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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.
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## Ecosystem packages
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@ -41,14 +40,6 @@ When installing a package, you do not need to explicitly install that package's
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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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@ -56,8 +47,18 @@ The `langchain-core` package contains base abstractions that the rest of the Lan
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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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### Integration packages
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Certain integrations like OpenAI and Anthropic have their own packages.
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Any integrations that require their own package will be documented as such in the [Integration docs](/docs/integrations/platforms/).
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You can see a list of all integration packages in the [API reference](https://api.python.langchain.com) under the "Partner libs" dropdown.
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To install one of these run:
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```bash
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pip install langchain-openai
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```
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Any integrations that haven't been split out into their own packages will live in the `langchain-community` package. Install with:
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```bash
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pip install langchain-community
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@ -89,7 +90,7 @@ 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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### 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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@ -105,3 +106,13 @@ 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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### From source
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If you want to install a package from source, you can do so by cloning the [main LangChain repo](https://github.com/langchain-ai/langchain), enter the directory of the package you want to install `PATH/TO/REPO/langchain/libs/{package}`, and run:
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```bash
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pip install -e .
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```
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LangGraph, LangSmith SDK, and certain integration packages live outside the main LangChain repo. You can see [all repos here](https://github.com/langchain-ai).
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@ -4,6 +4,10 @@
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"ignoreCommand": "bash ignore-step.sh",
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"trailingSlash": true,
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"rewrites": [
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{
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"source": "/v0.2/docs/integrations(/?)",
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"destination": "/v0.2/docs/integrations/platforms/"
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},
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{
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"source": "/v0.1",
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"destination": "https://langchain-v01.vercel.app/v0.1"
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