Individual skill
rag-perf
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).
skills/rag-perf/SKILL.md
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- Last checked
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- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
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- coding-agents Repository topic
- cuda Repository topic
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- nvidia Declared skill tag
- blueprint Declared skill tag
- rag Declared skill tag
- performance Declared skill tag
- benchmarking Declared skill tag
- aiperf Declared skill tag
- nvidia-rag-blueprint Declared skill tag
- testing Derived category
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BENCHMARK.mddoc · 2,672 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 bytesSKILL.mdcore · 16,346 byteseval/h100.jsonasset · 2,440 byteseval/nvidia_hosted.jsonasset · 1,887 bytesreferences/config-schema.mddoc · 7,762 bytesreferences/output-and-analysis.mddoc · 13,098 bytesreferences/synthetic-generation.mddoc · 7,341 bytesskill-card.mddoc · 2,750 bytesskill.oms.sigasset · 5,549 bytes
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# 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 <config>` 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