{"id":17717109,"url":"https://github.com/samansayar/langchain-rag-llm-workshop","last_synced_at":"2026-04-19T06:32:57.625Z","repository":{"id":259424090,"uuid":"877183305","full_name":"samansayar/LangChain-RAG-LLM-Workshop","owner":"samansayar","description":"A comprehensive workshop and learning path for mastering LangChain, RAG, and LLMs using TypeScript. 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This workshop is your gateway to building sophisticated AI applications using TypeScript.\n\n## What You'll Learn\n\nMaster these essential AI technologies:\n\n1. **LangChain**: Develop powerful language model applications\n2. **LangSmith**: Debug, test, and monitor LLM applications effectively\n3. **LangGraph**: Create stateful, multi-actor LLM applications\n4. **HuggingFace**: Access a vast array of pre-trained models and datasets\n\nPerfect for beginners and experts alike, this hands-on workshop provides practical experience in building advanced AI solutions.\n\n## Key Features\n\n- **Comprehensive Coverage**: From basics to advanced techniques\n- **Hands-on Projects**: Build real-world AI applications\n- **TypeScript Focus**: Leverage type safety in your AI projects\n- **Official Documentation**: Based on LangChain's authoritative resources\n- **Step-by-Step Guide**: Structured learning path for steady progress\n\n## Quick Start Guide\n\n1. Clone this repository: `git clone https://github.com/samansayar/LangChain-RAG-LLM-Workshop.git`\n2. Explore `TASKS.md` for the detailed learning roadmap\n3. Begin with Task 1 and progress at your own pace\n4. Utilize provided resources and documentation links\n\n## Why This Workshop?\n\n- **Industry-Relevant Skills**: Learn technologies used by top AI companies\n- **Practical Application**: Apply theory to real-world scenarios\n- **Structured Learning**: Carefully designed path for optimal skill acquisition\n- **Flexibility**: Learn at your own pace with clear, guided tasks\n\nEmbark on your journey to become an LLM and RAG expert. Start building the future of AI applications today!\n\n## Resources\n\n- [LangChain Documentation](https://js.langchain.com/docs/)\n- [LangSmith Platform](https://www.langchain.com/langsmith)\n- [HuggingFace Hub](https://huggingface.co/)\n\n## Contributing\n\nWe welcome contributions! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to get involved.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.\n\n---\n\nKeywords: LangChain, LangSmith, LangGraph, HuggingFace, LLM, RAG, AI, Machine Learning, TypeScript, Workshop, Tutorial\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamansayar%2Flangchain-rag-llm-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamansayar%2Flangchain-rag-llm-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamansayar%2Flangchain-rag-llm-workshop/lists"}