AnswerDotAI/RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

4.0k
Stars
278
Forks
55.2
Radar Score
Stable
Momentum

Scoring Breakdown

Impact81.5
Velocity37.0
Health38.8

Growth Metrics

7-Day Stars
+3
30-Day Stars
+6
Acceleration
2.00x
Language
Python

Why it ranks

Steady growth — consistently collecting stars and contributors.

RAG · rag frameworkTop 99% globallyLast push 505d ago+3 stars / 7d+6 stars / 30d

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🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
75%
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
55.2
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Maintenance cadence: Last push 543 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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