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Repository Structure

If you plan on contributing to LangChain code or documentation, it can be useful to understand the high level structure of the repository.

LangChain is organized as a monorepo that contains multiple packages. You can check out our installation guide for more on how they fit together.

Here's the structure visualized as a tree:

.
├── cookbook # Tutorials and examples
├── docs # Contains content for the documentation here: https://python.langchain.com/
├── libs
│ ├── langchain
│ │ ├── langchain
│ │ ├── tests/unit_tests # Unit tests (present in each package not shown for brevity)
│ │ ├── tests/integration_tests # Integration tests (present in each package not shown for brevity)
│ ├── community # Third-party integrations
│ │ ├── langchain-community
│ ├── core # Base interfaces for key abstractions
│ │ ├── langchain-core
│ ├── experimental # Experimental components and chains
│ │ ├── langchain-experimental
| ├── cli # Command line interface
│ │ ├── langchain-cli
│ ├── text-splitters
│ │ ├── langchain-text-splitters
│ ├── standard-tests
│ │ ├── langchain-standard-tests
│ ├── partners
│ ├── langchain-partner-1
│ ├── langchain-partner-2
│ ├── ...

├── templates # A collection of easily deployable reference architectures for a wide variety of tasks.

The root directory also contains the following files:

  • pyproject.toml: Dependencies for building docs and linting docs, cookbook.
  • Makefile: A file that contains shortcuts for building, linting and docs and cookbook.

There are other files in the root directory level, but their presence should be self-explanatory. Feel free to browse around!

Documentation

The /docs directory contains the content for the documentation that is shown at https://python.langchain.com/ and the associated API Reference https://python.langchain.com/api_reference/langchain/index.html.

See the documentation guidelines to learn how to contribute to the documentation.

Code

The /libs directory contains the code for the LangChain packages.

To learn more about how to contribute code see the following guidelines:

  • Code: Learn how to develop in the LangChain codebase.
  • Integrations: Learn how to contribute to third-party integrations to langchain-community or to start a new partner package.
  • Testing: Guidelines to learn how to write tests for the packages.

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