https://github.com/samansayar/langchain-rag-llm-workshop
A comprehensive workshop and learning path for mastering LangChain, RAG, and LLMs using TypeScript. Covers setup, implementation, and advanced techniques for building AI-powered applications with LangChain, LangSmith, LangGraph, and Hugging Face integration.
https://github.com/samansayar/langchain-rag-llm-workshop
groq-ai huggingface langchain langchain-js langgraph langsmith llm rag typescript
Last synced: 4 months ago
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A comprehensive workshop and learning path for mastering LangChain, RAG, and LLMs using TypeScript. Covers setup, implementation, and advanced techniques for building AI-powered applications with LangChain, LangSmith, LangGraph, and Hugging Face integration.
- Host: GitHub
- URL: https://github.com/samansayar/langchain-rag-llm-workshop
- Owner: samansayar
- Created: 2024-10-23T08:26:54.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-10-24T18:03:45.000Z (12 months ago)
- Last Synced: 2024-10-25T09:00:48.944Z (12 months ago)
- Topics: groq-ai, huggingface, langchain, langchain-js, langgraph, langsmith, llm, rag, typescript
- Language: TypeScript
- Homepage: https://samansayyar.com
- Size: 87.9 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LangChain, LangSmith, LangGraph, and HuggingFace Workshop: Master LLMs and RAG
Welcome to the ultimate learning path for Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cutting-edge AI tools. This workshop is your gateway to building sophisticated AI applications using TypeScript.
## What You'll Learn
Master these essential AI technologies:
1. **LangChain**: Develop powerful language model applications
2. **LangSmith**: Debug, test, and monitor LLM applications effectively
3. **LangGraph**: Create stateful, multi-actor LLM applications
4. **HuggingFace**: Access a vast array of pre-trained models and datasets
Perfect for beginners and experts alike, this hands-on workshop provides practical experience in building advanced AI solutions.
## Key Features
- **Comprehensive Coverage**: From basics to advanced techniques
- **Hands-on Projects**: Build real-world AI applications
- **TypeScript Focus**: Leverage type safety in your AI projects
- **Official Documentation**: Based on LangChain's authoritative resources
- **Step-by-Step Guide**: Structured learning path for steady progress
## Quick Start Guide
1. Clone this repository: `git clone https://github.com/samansayar/LangChain-RAG-LLM-Workshop.git`
2. Explore `TASKS.md` for the detailed learning roadmap
3. Begin with Task 1 and progress at your own pace
4. Utilize provided resources and documentation links
## Why This Workshop?
- **Industry-Relevant Skills**: Learn technologies used by top AI companies
- **Practical Application**: Apply theory to real-world scenarios
- **Structured Learning**: Carefully designed path for optimal skill acquisition
- **Flexibility**: Learn at your own pace with clear, guided tasks
Embark on your journey to become an LLM and RAG expert. Start building the future of AI applications today!
## Resources
- [LangChain Documentation](https://js.langchain.com/docs/)
- [LangSmith Platform](https://www.langchain.com/langsmith)
- [HuggingFace Hub](https://huggingface.co/)
## Contributing
We welcome contributions! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to get involved.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
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Keywords: LangChain, LangSmith, LangGraph, HuggingFace, LLM, RAG, AI, Machine Learning, TypeScript, Workshop, Tutorial