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NVIDIA RAG deployment and configuration v1.0.0

Use this resource to deploy and configure a NVIDIA RAG stack with Docker or Helm

New

  • 366 downloads
  • 116 likes
  • 180 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install nvidia-rag-deployment-guide

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent identifies the intent (deploy, configure, troubleshoot, shut down), reads the matching guide and applies the changes in the repository. You get a configuration checked against the affected service.

Mostly picked by

Updated November 2, 2026

Card for the “NVIDIA RAG deployment and configuration” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

Similar resources

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What you get

  • SKILL.md: intent routing table and configuration procedure
  • references/configure/: guides for ingestion, guardrails, MCP, evaluation and agentic RAG

Good fit for

  • You are installing NVIDIA RAG on a GPU server
  • You need to enable an option such as guardrails or MCP

Not for

    Tags

    • rag
    • nvidia
    • docker
    • helm
    • deployment

    About

    You say

    “Configure the NVIDIA RAG stack with Docker for my PDF corpus and turn on guardrails.”

    Card for the “NVIDIA RAG deployment and configuration” skill

    Skill published by practicalswan under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to deploy and configure a NVIDIA RAG stack with Docker or Helm
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md4.7 KB
    • CHANGELOG.md5.1 KB
    • eval/h100.json2.5 KB
    • eval/nvidia_hosted.json3.7 KB
    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/configure/agentic-rag.md5 KB
    • references/configure/api-reference.md1.7 KB
    • references/configure/data-catalog.md1.7 KB
    • references/configure/evaluation.md2.9 KB
    • references/configure/guardrails.md1.7 KB
    • references/configure/ingestion.md3.6 KB
    • references/configure/mcp.md1.3 KB
    • references/configure/migration.md1.6 KB
    • references/configure/models-and-infrastructure.md4.7 KB
    • references/configure/multimodal-query.md2 KB
    • references/configure/notebooks.md2.9 KB
    • references/configure/observability.md1.5 KB
    • references/configure/query-and-conversation.md3.7 KB
    • references/configure/reasoning-and-generation.md3.9 KB
    • references/configure/search-and-retrieval.md4.1 KB
    • references/configure/summarization.md2.1 KB
    • references/configure/user-interface.md1.7 KB
    • references/configure/vlm.md3.6 KB
    • references/deploy.md8 KB
    • references/deploy/docker-nvidia-hosted.md2.2 KB
    • references/deploy/docker-retrieval-only.md1.7 KB
    • references/deploy/docker-self-hosted.md2.3 KB
    • references/deploy/docker.md4.3 KB
    • references/deploy/helm-mig.md2.1 KB
    • references/deploy/helm-openshift.md3.7 KB
    • references/deploy/helm-standard.md2.4 KB
    • references/deploy/helm.md5.7 KB
    • references/deploy/library-full.md2.3 KB
    • references/deploy/library-lite.md1.8 KB
    • references/deploy/library.md2.3 KB
    • references/shutdown.md4.9 KB
    • references/troubleshoot.md8.9 KB
    • skill-card.md3.2 KB
    • SKILL.md12.1 KB
    • skill.oms.sig12.5 KB

    Origin and licence

    Listed unmodified

    Author
    practicalswan
    Source
    github.com/practicalswan/agent-skills/tree/6cf63517700aa9ba0b80e711a93837e3bea13d0a/rag-blueprint
    Licence
    Apache-2.0

    Notice

    « rag-blueprint » (practicalswan, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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