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Bagatur/docs serve context (#13150)
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@ -43,18 +43,32 @@ These docs focus on the Python LangChain library. [Head here](https://js.langcha
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:::
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## LangChain Expression Language (LCEL)
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LCEL is a declarative way to compose chains. LCEL was designed from day 1 to support putting prototypes in production, with no code changes, from the simplest “prompt + LLM” chain to the most complex chains.
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- **[Overview](/docs/expression_language/)**: LCEL and its benefits
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- **[Interface](/docs/expression_language/interface)**: The standard interface for LCEL objects
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- **[How-to](/docs/expression_language/interface)**: Key features of LCEL
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- **[Cookbook](/docs/expression_language/cookbook)**: Example code for accomplishing common tasks
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## Modules
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LangChain provides standard, extendable interfaces and integrations for the following modules:
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#### [Model I/O](/docs/modules/model_io/)
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Interface with language models
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#### [Retrieval](/docs/modules/data_connection/)
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Interface with application-specific data
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#### [Agents](/docs/modules/agents/)
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Let chains choose which tools to use given high-level directives
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Let models choose which tools to use given high-level directives
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## Examples, ecosystem, and resources
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### [Use cases](/docs/use_cases/question_answering/)
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Walkthroughs and techniques for common end-to-end use cases, like:
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- [Document question answering](/docs/use_cases/question_answering/)
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@ -63,14 +77,17 @@ Walkthroughs and techniques for common end-to-end use cases, like:
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- and much more...
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### [Integrations](/docs/integrations/providers/)
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LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/providers/) and [dependent repos](/docs/additional_resources/dependents).
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LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/providers/).
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### [Guides](/docs/guides/adapters/openai)
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Best practices for developing with LangChain.
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### [API reference](https://api.python.langchain.com)
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Head to the reference section for full documentation of all classes and methods in the LangChain and LangChain Experimental Python packages.
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### [Developer's guide](/docs/contributing)
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Check out the developer's guide for guidelines on contributing and help getting your dev environment set up.
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### [Community](/docs/community)
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Head to the [Community navigator](/docs/community) to find places to ask questions, share feedback, meet other developers, and dream about the future of LLM’s.
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## API reference
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Head to the [reference](https://api.python.langchain.com) section for full documentation of all classes and methods in the LangChain Python package.
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@ -216,6 +216,10 @@ const config = {
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href: "https://github.com/langchain-ai/langserve",
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label: "LangServe GitHub",
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},
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{
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href: "https://github.com/langchain-ai/langchain/tree/master/templates",
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label: "Templates GitHub",
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},
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{
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href: "https://smith.langchain.com/hub",
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label: "LangChain Hub",
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