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://api.python.langchain.com/en/latest/langchain_api_reference.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.