Rag Blueprint

NVIDIA RAG Blueprint – deploy, configure, troubleshoot, and manage.

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NVIDIA RAG Blueprint - deploy, configure, troubleshoot, and manage.This is the skill's description: the text your AI reads to decide when the skill applies.

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nvidia-rag-blueprint/SKILL.md

NVIDIA · Apache-2.0 · source

---
name: rag-blueprint
version: "2.6.0"
description: "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, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more)."
license: Apache-2.0
compatibility: >-
  NVIDIA RAG Blueprint repository checkout; Docker/Compose or Kubernetes/Helm
  for deployments; Python 3.11+ for library workflows; NVIDIA GPU tooling for
  self-hosted NIM services.
metadata:
  author: "NVIDIA RAG <foundational-rag-dev@exchange.nvidia.com>"
  github-url: "https://github.com/NVIDIA-AI-Blueprints/rag"
  endpoint-openapi-schemas:
    - docs/api_reference/openapi_schema_rag_server.json
    - docs/api_reference/openapi_schema_ingestor_server.json
  argument-hint: deploy RAG | enable feature | disable feature | configure | troubleshoot | shutdown
  tags:
    - nvidia
    - blueprint
    - rag
    - deployment
    - configuration
    - troubleshooting
  languages:
    - python