Google AI ModeSep 12, 2026
Use evaluation libraries: Use lightweight metrics toolkits like ranx (for fast and robust retrieval evaluation like NDCG, MRR, and Recall@K)
Data as of Oct 15, 2026Based on 35,744 AI responses
Reviewed by Dimitry Apollonsky
Hosted on GitHub Pages
<1%
of 35,744 answers across ranx’s markets · since Jul 5
The market map
Embedding Model APIs and ServicesMentioned in
Share of answers in Embedding Model APIs and Services each week · 349 answers since Jul 5
Each engine’s share of its own answers across ranx’s markets · since Jul 5
This page was cited in 3 AI answers that named ranx.
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Review the page on farzzy.hashnode.dev (opens in a new tab)Where ranx ranks in AI
Question: My goal is to automatically evaluate different embedding models for our specific domain. What's the best embedding model evaluation framework?
Google AI ModeAug 11, 2026
Ranx is a lightweight, blazing-fast Python library specifically designed for evaluating and comparing information retrieval models.
ranx.github.io 0%Other sites 100%
Excerpts where ranx appeared in the AI's answer
Use evaluation libraries: Use lightweight metrics toolkits like ranx (for fast and robust retrieval evaluation like NDCG, MRR, and Recall@K)
Ranx is a lightweight, blazing-fast Python library specifically designed for evaluating and comparing information retrieval models.