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…
---
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… load the full skill through Skill MeIn any Claude conversation, say:
Install the Rag Blueprint skill
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MCP endpoint
https://skillme.dev/api/mcp