A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
GiovanniPasq/agentic-rag-for-dummies is accelerating — star growth is speeding up by +0.1/day (53rd percentile in the tracked cohort), on top of +3.3 stars/day. A recent release is helping fuel the run.
Low breakout odds over the next 14 days, led by star acceleration (53th pctl) and star velocity (52th pctl). Confidence is high given the available history.
Reconstructed from 225 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 11.
~72 forks/day, 75.5× the trailing baseline.
~11 forks/day, 9.3× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/GiovanniPasq/agentic-rag-for-dummies)Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.