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# 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
markdown
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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)
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