mirror of
https://github.com/hwchase17/langchain.git
synced 2026-06-09 18:50:33 +00:00
ba897ffa7e
## Description Updates package metadata and README badges so LangChain social links point to the new `@langchain_oss` X handle. This was completed with AI-agent assistance. ## Test Plan - [ ] Validate README badges and package metadata links point to `https://x.com/langchain_oss` _Opened collaboratively by Mason Daugherty and open-swe._ --------- Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Mason Daugherty <61371264+mdrxy@users.noreply.github.com>
48 lines
2.7 KiB
Markdown
48 lines
2.7 KiB
Markdown
# 🦜🍎️ LangChain Core
|
|
|
|
[](https://pypi.org/project/langchain-core/#history)
|
|
[](https://opensource.org/licenses/MIT)
|
|
[](https://pypistats.org/packages/langchain-core)
|
|
[](https://x.com/langchain_oss)
|
|
|
|
Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).
|
|
|
|
To help you ship LangChain apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
|
|
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
|
|
|
|
## Quick Install
|
|
|
|
```bash
|
|
pip install langchain-core
|
|
```
|
|
|
|
## 🤔 What is this?
|
|
|
|
LangChain Core contains the base abstractions that power the LangChain ecosystem.
|
|
|
|
These abstractions are designed to be as modular and simple as possible.
|
|
|
|
The benefit of having these abstractions is that any provider can implement the required interface and then easily be used in the rest of the LangChain ecosystem.
|
|
|
|
## ⛰️ Why build on top of LangChain Core?
|
|
|
|
The LangChain ecosystem is built on top of `langchain-core`. Some of the benefits:
|
|
|
|
- **Modularity**: We've designed Core around abstractions that are independent of each other, and not tied to any specific model provider.
|
|
- **Stability**: We are committed to a stable versioning scheme, and will communicate any breaking changes with advance notice and version bumps.
|
|
- **Battle-tested**: Core components have the largest install base in the LLM ecosystem, and are used in production by many companies.
|
|
|
|
## 📖 Documentation
|
|
|
|
For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_core/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview). You can also chat with the docs using [Chat LangChain](https://chat.langchain.com).
|
|
|
|
## 📕 Releases & Versioning
|
|
|
|
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
|
|
|
|
## 💁 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](https://docs.langchain.com/oss/python/contributing/overview).
|