Genius GenAI

A hands-on playground to learn and experiment with LangChain, LangGraph, LangSmith, and OpenAI in JavaScript/TypeScript.
This repo organizes tutorials, mini-projects, experiments, and notes to help you master modern GenAI frameworks.

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🚀 Repo Structure

/genai-learning
│
├── README.md                # This file
├── /docs                    # Notes, summaries, prompts from tutorials
├── /projects                # Full tutorial projects
│   ├── /01-chatbot-basic    # First tutorial project
│   ├── /02-agent-demo       # Agent building tutorial
│   ├── /03-rag-demo         # Retrieval/LangGraph project
├── /langchain-examples      # Mini experiments: memory, chains, tool-calling
├── /langgraph-experiments   # Mini experiments for LangGraph
├── /langsmith-experiments   # Mini experiments for LangSmith
└── /utils                   # Shared helper scripts, mock data, etc.

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📚 Tutorials & Resources

OpenAI Docs (essential)

• Text Generation
• Function Calling
• Embeddings
• Structured Outputs

YouTube Tutorials / Webinars

• LangChain v1 Webinar (JS & Python, 54 min)
• 50-min Agent Building Tutorial (LangChain JS v1)

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🏗 Learning Plan

1. Foundations

   • Read OpenAI Docs: Chat, Function Calling, Structured Outputs
   • Understand tokens, context, inference, and embeddings

2. Mini Experiments

   • LangChain memory, chains, tool calling
   • LangGraph & LangSmith basic experiments

3. Tutorial Projects

   • Follow JS tutorials for agent/chatbot building
   • Apply concepts with hands-on code

4. Practice & Integration

   • Build small projects using multiple frameworks
   • Combine insights to prototype your own AI agents

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⚡ Tips

• Keep each tutorial/project isolated in /projects
• Use /docs to summarize key takeaways, prompts, and snippets
• Use /utils for reusable code across experiments
• Focus on concepts first, implementation second
• Apply knowledge directly in small projects — learning by doing

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🎯 Goal

By the end of this repo, you will have:

• Solid understanding of LangChain JS v1
• Hands-on experience with LangGraph & LangSmith
• Practical experience integrating OpenAI APIs
• Ready-to-use patterns for building context-aware AI agents

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📝 Notes

• This repo is a learning playground — not production code
• Concepts are learned and then applied in mini-projects
• You can continuously update /projects as you explore new tutorials

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