embeddings-benchmark/mteb
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
3.5k
Stars
769
Forks
66.1
Radar Score
Rising
Momentum
Scoring Breakdown
Impact81.6
Velocity52.3
Health60.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
1.00x
Language
Python
Why it ranks
Strong momentum — adoption is accelerating week over week.
RAG · vector databaseTop 70% globally
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
99%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
66.1
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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