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.
Master these essential AI technologies:
- LangChain: Develop powerful language model applications
- LangSmith: Debug, test, and monitor LLM applications effectively
- LangGraph: Create stateful, multi-actor LLM applications
- 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.
- 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
- Clone this repository:
git clone https://github.com/samansayar/LangChain-RAG-LLM-Workshop.git - Explore
TASKS.mdfor the detailed learning roadmap - Begin with Task 1 and progress at your own pace
- Utilize provided resources and documentation links
- 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!
We welcome contributions! Please see our CONTRIBUTING.md for details on how to get involved.
This project is licensed under the MIT License - see the LICENSE.md file for details.
Keywords: LangChain, LangSmith, LangGraph, HuggingFace, LLM, RAG, AI, Machine Learning, TypeScript, Workshop, Tutorial