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NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG,
Skill
  • Developer
  • AI Engineer
  • DevOps Engineer
  • Platform Engineer
  • Application Developer
  • AI And Machine Learning
  • RAG
2K downloads in the last 30 days
Last updated on May 29, 2026
npx skills add NVIDIA/skills --skill rag-blueprint

Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
Skill
  • Developer
  • DevOps Engineer
  • Platform Engineer
  • AI And Machine Learning
  • NeMo Agent Toolkit
2K downloads in the last 30 days
Last updated on May 29, 2026
npx skills add NVIDIA/skills --skill aiq-deploy

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).
Skill
  • Developer
  • AI Engineer
  • DevOps Engineer
  • Ml Engineer
  • Platform Engineer
  • AI And Machine Learning
  • RAG
2K downloads in the last 30 days
Last updated on May 29, 2026
npx skills add NVIDIA/skills --skill rag-perf

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
Skill
  • Developer
  • AI Engineer
  • AI And Machine Learning
  • NeMo Agent Toolkit
2K downloads in the last 30 days
Last updated on May 29, 2026
npx skills add NVIDIA/skills --skill aiq-research
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