u/Western-Slip199

Hey everyone,

I've been going deep on RAG architectures lately and couldn't find a single resource that covered all the modern variants in one place, so I built one and open-sourced it.

What's in the repo:

• 10 sections covering every major RAG type
• 50 interview questions tagged [Basic] / [Intermediate] / [Advanced]
• Detailed answers with architecture diagrams, code snippets, and trade-off tables
• A cheatsheet with a decision tree ("which RAG should I use?")
• GitHub Pages site auto-deployed on every push

RAG types covered: Naive, Advanced, Modular, Agentic, Graph, Corrective (CRAG), Self-RAG, Speculative, Multi-modal, and Long-context RAG.

https://github.com/ather-techie/rag-interview-questions

Looking for contributors! If you've been in an ML/LLM interview recently and got a question not covered here, please open a PR or drop it in the comments. I'll add it with credit.

If this is useful, a star on GitHub goes a long way. it helps others discover it. Thanks!