FINDING #935 · UNIT ID 860912552
OpenSPG/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
8.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-27 · FORK-RETENTION 0.0% · 8 STARS / WINDOW
Author Audience
AUDIENCE
2,908
FOLLOWERS
327
OWNER ★
11,270
Engagement Signals
FORKS
698
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)
Why This Is A Finding
OpenSPG/KAG собрал 8 звёзд за окно, тогда как у автора всего 327 подписчиков — эффективная аудитория ≈ 2,908. Это даёт surprise-индекс 0.00271 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 38% OF 1508 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 1508 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 38%
VELOCITY8.009.00-1.00ABOVE 40%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS698317+382ABOVE 66%
SURPRISE0.000.01-0.01ABOVE 29%