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	⏳
...	...	...	...

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

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

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

Made by Hamid Omarov
Check out my portfolio: Notion Page