RAG-Perf — config-driven perf benchmark CLI
Purpose
Drive a deployed NVIDIA RAG Blueprint server with a YAML config, run a server-side
profiling pass
(per-stage timing, citation quality, bottleneck inference) and an optional
aiperf load test
(TTFT / E2E / token & request throughput / error rate), and write a unified report. The CLI is intentionally minimal:
rag-perf -c
plus
--help
/
--version
. Behaviour is
fully
config-driven; field variations belong in YAML.
Scope
Accuracy / RAGAS
scoring of answer quality → use the
rag-eval
skill.
Deploying, repairing, or configuring services
(compose, helm, NIM env vars) → use the
rag-blueprint
skill.
Production monitoring / alerting
— rag-perf is a one-shot benchmark tool.
Runtime requirement:
a deployed RAG server reachable on the network.
Prerequisites
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Installs
525
Repository
nvidia/skills
GitHub Stars
1.3K
First Seen
May 29, 2026
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