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BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQED takes RAG benchmarking to another level. Imagine LazyGraphRAG smashing through competition—even when wielding a hefty 1M-token context. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not, AutoQ is in its corner, crafting a smorgasbord of synthetic queries that hammer out consistent, fair RAG assessments, shrugging off dataset quirks like a seasoned pro.


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The FAUN

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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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