https://github.com/shamspias/lcel-tutorial
The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
https://github.com/shamspias/lcel-tutorial
langchain langchain-chains langchain-expression-language langchain-python langgraph langserve langsmith lcel
Last synced: 6 months ago
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The "lcel-tutorial" repo is designed for mastering LangChain Expression Language (LCEL), offering exercises to build stateful, multi-actor LLM applications. It's a hands-on guide to leveraging LCEL for complex workflows and agent-like behaviors. Perfect for enthusiasts eager to explore LLM's potential.
- Host: GitHub
- URL: https://github.com/shamspias/lcel-tutorial
- Owner: shamspias
- License: mit
- Created: 2024-02-14T07:13:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-01T09:44:16.000Z (about 1 year ago)
- Last Synced: 2024-04-01T11:37:54.898Z (about 1 year ago)
- Topics: langchain, langchain-chains, langchain-expression-language, langchain-python, langgraph, langserve, langsmith, lcel
- Language: Python
- Homepage:
- Size: 32.2 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# LCEL Tutorial
## Welcome to the LCEL Tutorial Repository
This repository is structured to guide learners through both theoretical concepts and practical exercises on LangChain Expression Language (LCEL), enabling the construction of complex, stateful LLM applications.
## Repository Structure
- **/exercises**: Contains Python files with coding exercises to practice LCEL in real-world scenarios.
- **/theory**: Contains Markdown (.md) files with detailed tutorials and theoretical explanations to deepen your understanding of LCEL concepts.
## Tutorial List
1. **Introduction to LCEL**: Understand the core concepts and advantages of using LCEL for building multi-actor applications.
2. **Setting Up Your Environment**: Step-by-step guide to prepare your development environment for LCEL coding.
3. **Basic Chain Construction**: Learn how to create simple chains combining prompts, models, and output parsers.
4. **Advanced Chain Techniques**: Dive into more complex examples, including retrieval-augmented generation (RAG) chains for context-aware responses.
5. **Utilizing Streaming and Parallelism**: Explore LCEL's built-in support for streaming data and executing parallel operations.
6. **Debugging and Logging**: Tips and tricks for debugging your chains and effectively logging their operations.
7. **Real-World Applications**: Examples and case studies on applying LCEL to solve practical problems.
## Getting Started
- Ensure Python is installed on your system.
- Install LangChain and dependencies:
## Contributing
Feel free to fork this repository, contribute new examples, or improve the tutorials. Check out our contributing guidelines for more information.
## License
This project is licensed under the MIT License - see the LICENSE file for details.
Happy Coding!