DocAILab/XRAG
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
612
Stars
17
Forks
31.7
Radar Score
Declining
Momentum
Scoring Breakdown
Impact40.5
Velocity17.7
Health37.4
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 78% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
66%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
31.7
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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