JavaScript · MIT
ather-techie/rag-interview-system
A complete collection of RAG interview questions, answers (1619 questions & 52 RAG types), system design scenarios, architecture patterns, and production-ready concepts.
★ 183
Stars
29 forks · 4 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
22.4
Momentum / 100
see the breakdown below
5mo ago
Created
last push 6d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.22× the monthly pace |
| Freshness | 15 | 14.7 | last push 6d ago; decays to zero at 180 days |
| Scale | 15 | 6.6 | 183 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 22.4 | sum of the above |
Detail
| Topics | agentic-ragaideep-learninggenerative-aigraph-raginterview-preparationinterview-questionsknowledge-graphlangchainlarge-language-modelsllamaindexllmmachine-learningnlpprompt-engineeringragretrieval-augmented-generationself-ragvector-databasevector-search |
| Matched on | RAG (retrieval-augmented-generation, vector-database) LLM & Inference (large-language-models) Learning & Roadmaps (interview-questions) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +17 stars over 26 days = 0.7/day |
| Lifetime average | 1.08 stars/day over 170 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |