sk Skill · NVIDIA-AI-Blueprints
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).
Open on skills.sh ↗read 2026-09-17
- installs 8w
- 0
- 30-day movement
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- Related entries
- 2
- Connections
- 1
bashPythonaiperfperformanceragbenchmarkingblueprintnvidia-rag-blueprintnvidia
- Host repository
- NVIDIA-AI-Blueprints/rag
- Version
- 2.6.0
- Allowed tools
- Read Grep Glob Bash(ls *) Bash(python3 *) Bash(uv *) Bash(cat *) Bash(curl *) Write Edit
- Compatible with
- Repository checkout with uv, Python 3.11+, run from repo root, uv sync --project scripts/rag-perf (perf deps live in scripts/rag-perf/pyproject.toml), reachable RAG server (default http://localhost:8081), aiperf load-test phase uses the bundled nvidia_rag endpoint plugin, registered automatically when rag-perf is installed editable.
- Licence
- Apache-2.0
- Host stars
- 766
- Host language
- Python