44 lines
2 KiB
Markdown
44 lines
2 KiB
Markdown
<!-- Title -->
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# ⛓️ LangFlow
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~ A User Interface For [LangChain](https://github.com/hwchase17/langchain) ~
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<p>
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<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/logspace-ai/langflow" />
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<img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/logspace-ai/langflow" />
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<img alt="" src="https://img.shields.io/github/repo-size/logspace-ai/langflow" />
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<img alt="GitHub Issues" src="https://img.shields.io/github/issues/logspace-ai/langflow" />
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<img alt="GitHub Pull Requests" src="https://img.shields.io/github/issues-pr/logspace-ai/langflow" />
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<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
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</p>
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<a href="https://github.com/logspace-ai/langflow">
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<img width="100%" src="https://github.com/logspace-ai/langflow/blob/main/img/langflow-demo.gif?raw=true"></a>
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LangFlow is a GUI for [LangChain](https://github.com/hwchase17/langchain), designed with [react-flow](https://github.com/wbkd/react-flow) to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.
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## 📦 Installation
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You can install LangFlow from pip:
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`pip install langflow`
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Next, run:
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`python -m langflow` or just `langflow`
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## 🎨 Creating Flows
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Creating flows with LangFlow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of [LangChain components](https://langchain.readthedocs.io/en/latest/reference.html) to choose from, including LLMs, prompt serializers, agents, and chains.
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Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
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## 👋 Contributing
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We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.
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## 📄 License
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LangFlow is released under the MIT License. See the LICENSE file for details.
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