mirror of https://github.com/hwchase17/langchain.git synced 2026-06-30 06:05:52 +00:00

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Mason Daugherty 63cc1f4e7d docs: refresh README installation and resources (#38119 )

README installation examples now use `uv add` consistently, matching the
repo's `uv`-based Python workflow. The top-level README also gets a
cleaner quickstart and resource section with current links for docs,
community, learning, and contribution guidance.

## Changes
- Replaced `pip install` snippets with `uv add` across package quick
install docs, including the Hugging Face extras and
`sentence-transformers` upgrade examples.
- Updated the top-level quickstart to show only `uv add langchain` and
refreshed the example model to `openai:gpt-5.5`.
- Pointed the LangGraph orchestration link at the LangGraph GitHub
repository.
- Consolidated top-level documentation and additional-resource links
under a single `Resources` section covering docs, ecosystem overview,
API reference, discussions, Academy, contributing, and the Code of
Conduct.
- Added LangChain Academy and Code of Conduct links to package README
resource sections.

2026-06-12 17:38:22 -04:00

2.2 KiB

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🦜✂️ LangChain Text Splitters

Looking for the JS/TS version? Check out LangChain.js.

Quick Install

uv add langchain-text-splitters

🤔 What is this?

LangChain Text Splitters contains utilities for splitting into chunks a wide variety of text documents.

📖 Documentation

For full documentation, see the API reference.

📕 Releases & Versioning

See our Releases and Versioning policies.

We encourage pinning your version to a specific version in order to avoid breaking your CI when we publish new tests. We recommend upgrading to the latest version periodically to make sure you have the latest tests.

Not pinning your version will ensure you always have the latest tests, but it may also break your CI if we introduce tests that your integration doesn't pass.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Resources

LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
Code of Conduct — community guidelines and standards

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