GenAI-Playground ✨

A personal collection of hands-on projects, experiments, and learning notes while exploring the world of Generative AI. 🤖

🔋 Contents

• 🤖 AI agents and workflows
• 📝 Prompt engineering
• 📄 Structured outputs and JSON schemas
• 🔗 API integrations
• ⚡ FastAPI fundamentals
• 🦜 LangChain and LangGraph
• 🔍 Retrieval-Augmented Generation (RAG)
• 🧠 Embeddings and vector databases
• 🛠️ MCP and AI engineering concepts
• 🚀 Mini AI-powered applications

🎯 Purpose

This repository serves as a:

• 📖 Learning journal
• 🧪 Experiment playground
• 🛠️ Collection of practical implementations
• 📈 Progress tracker throughout my GenAI journey

---

🐍 Python Development Guide

1. Create a virtual environment

python -m venv venv

2. Activate the virtual environment

Linux / macOS

source venv/bin/activate

Windows

venv\Scripts\activate

3. Install project dependencies

pip install -r requirements.txt

4. Run the development server of the FastAPI application

uvicorn main:app --reload

5. Update dependencies (when required)

pip freeze > requirements.txt

---

Learning by building, experimenting, and iterating. 🌱