What AI says about RAGPerf
Data as of Oct 20, 2026Based on 9,648 AI responses
Reviewed by Dimitry Apollonsky
Hosted on GitHub
Mentioned in
<1%
across RAGPerf’s markets · since Jul 5
RAGPerf in AI’s own words
Where AI mentions RAGPerf
Each engine’s share of its own answers across RAGPerf’s markets · since Jul 5
- ChatGPT Search<1%
- Google AI Mode<1%
A cited page to review
This page is cited in 50% of the answers that name RAGPerf.
Check whether this page mentions your business and whether its details are accurate before contacting the publisher.
All-time evidence through 2026-09-21.
Review the page on arxiv.org (opens in a new tab)Questions and answers
- Mentioned in
- We are evaluating vector databases. Who offers performance benchmarking for high-scale RAG?on this question40%
Excerpts where RAGPerf appeared in the AI's answer
Google AI ModeSep 5, 2026, Google AI Mode RAGPerf: An open-source, end-to-end RAG benchmarking framework that integrates with the Hugging Face ecosystem.
Google AI ModeAug 24, 2026, Google AI Mode RAGPerf : An open-source, end-to-end framework explicitly built to decouple and benchmark the modular components of a RAG pipeline
Sources AI cites
github.com 5%Other sites 95%
- 15%
- Optimizing RAG: A Guide to Choosing the Right Vector Database | by Mutahar Ali | Medium · 5% (opens in a new tab)
- Benchmarking Vector Databases: What I Learned from Pushing 500K Vectors Through Their Limits | by Alex Chen | Everyday AI | Medium · 5% (opens in a new tab)
- Medium · 5% (opens in a new tab)
