https://github.com/malekkamel/langchaintutorial
This repository serves as a hands-on playground for the official LangChain tutorial, specifically adapted for version 0.3. It's designed to help you follow along and experiment with the concepts introduced in the official documentation.
https://github.com/malekkamel/langchaintutorial
Last synced: 3 months ago
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This repository serves as a hands-on playground for the official LangChain tutorial, specifically adapted for version 0.3. It's designed to help you follow along and experiment with the concepts introduced in the official documentation.
- Host: GitHub
- URL: https://github.com/malekkamel/langchaintutorial
- Owner: MalekKamel
- License: apache-2.0
- Created: 2025-05-30T16:25:52.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-05-30T16:44:14.000Z (4 months ago)
- Last Synced: 2025-05-30T23:37:29.609Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.13 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LangChain Tutorial Playground
This repository serves as a hands-on playground for the official LangChain tutorial, specifically adapted for **version 0.3**. It's designed to help you follow along and experiment with the concepts introduced in the [official documentation](https://python.langchain.com/docs/tutorials/).
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## Getting Started
To run the examples and explore the LangChain functionalities in this repository, you'll need to set up your environment with the necessary API keys.
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### Environment Setup
Create a file named `.env` in the root directory of this project. Populate it with your API keys and configuration details, following this structure:
```text
LANGSMITH_TRACING=true
LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
LANGSMITH_API_KEY="your_langsmith_api_key_here"
LANGSMITH_PROJECT="your_langsmith_project_name"
OPENAI_API_KEY="your_openai_api_key_here"
```
**Note:** Replace the placeholder values (e.g., `your_langsmith_api_key_here`) with your actual API keys.
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### Installation
Before running the code, make sure you have all the required dependencies installed. You can typically do this using `conda`:
```bash
conda env create -f environment.yml
```
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## What's Inside?
This repository contains:
* **Jupyter Notebooks/Python Scripts:** Each notebook corresponds to a specific section of the LangChain tutorial.
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## Contributing
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Feel free to fork this repository, experiment with the code, and even contribute your own enhancements or examples\!
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## License
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Apache License v2.0