README.md

# RAG 30 Days Sprint 🚀

This repository contains a 30-day sprint to master Retrieval-Augmented Generation (RAG) systems using Python, LangChain, and modern AI tools.

## 📅 Day Tracker

| Day | Folder | Description            | Status |
|-----|--------|------------------------|--------|
| 1   | day1   | Hello world test file  | ✅     |
| 2   | day2   | TBD                    | ⏳     |
| ... | ...    | ...                    | ...    |

## 📂 Folder Structure

rag-30-days/
│
├── day1/
│ └── hello_ai.py
│
├── README.md

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## 🧠 Goal

To build a production-ready RAG pipeline in 30 days and land a remote AI job by the end of the sprint.

## 🛠️ Tools

- Python
- LangChain
- ChromaDB / Weaviate / FAISS
- OpenAI API
- Streamlit (optional UI)
- Git & GitHub

## 📈 Progress

Check commits and folders daily to follow the sprint. Each folder corresponds to 1 day of learning and building.

## 📬 Contact

Made by [Hamid Omarov](https://www.linkedin.com/in/hamidomarov)  
Check out my portfolio: [Notion Page](https://www.notion.so/AI-Content-Factory-Operations-2400a72a724c8050b5c6ddc0e6a0a77d)