Welcome to Agentic AI — a collection of notes, projects, experiments, and resources focused on Agentic AI, LLMs, RAG, AI Agents, and Generative AI.
- 📚 Agentic AI Notes
- 🤖 AI Agent Projects
- 🔗 LangChain & LangGraph
- 📄 RAG & Document Intelligence
- 🧠 LLMs & Prompt Engineering
- 🛠️ Tool Calling & Function Calling
- 💾 AI Agent Memory
- 👥 Multi-Agent Systems
- 📊 Agentic AI + Data Analytics
- 🧪 Experiments & Prototypes
| Category | Description |
|---|---|
| 📚 Notes | Concepts, tutorials, and learning notes |
| 🤖 Projects | Complete Agentic AI projects |
| 🧪 Experiments | Small experiments and prototypes |
| 📖 Resources | Papers, courses, tools, and references |
Python • LangChain • LangGraph • LLMs • RAG • Vector Databases • FastAPI • Streamlit • APIs • AI Agents
The goal of this organization is to build a structured collection of Agentic AI knowledge and practical projects, making it useful for learning, experimentation, and portfolio development.
⭐ Explore the repositories and learn, build, and experiment with Agentic AI.
