NirDiamant/RAG_Techniques — GitHub trend

FINDING #2197 · UNIT ID 828268839

NirDiamant/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000295

ENGAGEMENT0.57

FRESHNESS1.24

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.17

ACCEL

-0.06

RETENTION

3.8%

PEAK 2026-02-18 · FORK-RETENTION 58.3% · 750 STARS / WINDOW

Author Audience

AUDIENCE

14,086

FOLLOWERS

5,746

OWNER ★

83,402

Engagement Signals

FORKS

3,484

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 750 / 750 (DIVERSITY 1.00)

Why This Is A Finding

NirDiamant/RAG_Techniques собрал 750 звёзд за окно, тогда как у автора всего 5,746 подписчиков — эффективная аудитория ≈ 14,086. Это даёт surprise-индекс 0.000295 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 58.3% и 5 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 26% OF 2987 FINDINGS

#267pageman/sutskever-30-implementations[ JUPYTER NOTEBOOK ]0.00627 #293Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00576 #496lyogavin/airllm[ JUPYTER NOTEBOOK ]0.00444 #678duoan/TorchCode[ JUPYTER NOTEBOOK ]0.00336 #704CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.0032

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 26%

VELOCITY4.172.84+1.32ABOVE 68%

RETENTION3.8%6.8%-3.0 PPABOVE 28%

FORKS3,4841,068+2,416ABOVE 78%

SURPRISE0.000.00-0.00ABOVE 31%