FudanDNN-NLP/RAG
This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)
349
Stars
22
Forks
0.0
Radar Score
Declining
Momentum
Scoring Breakdown
Impact0.0
Velocity0.0
Health0.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
70%
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
0.0
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Maintenance cadence: Last push 691 days ago.
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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