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NVIDIAKnown publisherNVIDIA/NeMo-Retriever/skills/nemo-retriever/SKILL.md

nemo-retriever

Skill3k starsChanged 18 days agoApache-2.0View on GitHub

Use when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. Use for PDFs, images, Office files, HTML, text, audio, and video; not for editing documents or web search.

  • Installs packages

5 other projects use a version of this, 1 of them edited.

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More talk lately.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 1 mentionApr 2026: 0 mentionsMay 2026: 1 mentionJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 1 mentionOct 2026: 0 mentionsNov 2026: 2 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the NVIDIA/NeMo-Retriever repository that our weekly crawl found: only 5 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

  • Other versions5 projects use a version of this.

    Word for word · 2

    1. NVIDIA/skills★ 3.9k100% same
    2. NVIDIA/nv-ingest★ 3k100% same

    Edited · 1

    1. PracticalSwan/agent-skills★ 2239% same

    Wrote their own version · 2

    1. neronain/ClaudeSkills-Neronain★ 3same name
    2. TanmaySrivastavaa/decision-lab-os★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository3 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

8 rules. 0 are common, 4 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the retriever CLI. Prefer it over hand-built retrieval code.

    line 9
  2. Distinctive:

    Create a project-local Python environment:

    line 14
  3. Very specific:

    Do not clone NeMo Retriever or install from a Git URL.

    line 39
  4. Very specific:

    Use retriever ingest batch only for an explicitly requested Ray batch run.

    line 59
  5. Distinctive:

    Use these forms for an already deployed Retriever service:

    line 63
  6. Distinctive:

    Do not pass local LanceDB flags to the service commands.

    line 75
  7. Distinctive:

    Use the existing index or service when one is provided.

    line 79
  8. Very specific:

    Use retriever ingest --help, retriever query --help, or the relevant batch / service help for options not shown here.

    line 80

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

NeMo Retriever

Use the retriever CLI. Prefer it over hand-built retrieval code.

Install only when missing

Create a project-local Python environment:

uv venv .venv --python 3.12
export PATH="$PWD/.venv/bin:$PATH"

Install the package variant required by the workflow:

# Remote NIM or service client
uv pip install --python .venv/bin/python "nemo-retriever==26.8.1"

# Local GPU ingestion
uv pip install --python .venv/bin/python "nemo-retriever[local]==26.8.1"

# Local service using Hugging Face models
uv pip install --python .venv/bin/python \
  "nemo-retriever[service,local]==26.8.1"

# Local audio or video ingestion
uv pip install --python .venv/bin/python \
  "nemo-retriever[local,multimedia]==26.8.1"

Do not clone NeMo Retriever or install from a Git URL. If retriever is already on PATH, use that installation.

Local workflow

Build a local index:

retriever ingest <file-or-directory> \
  --lancedb-uri lancedb --table-name nemo-retriever

Query it:

retriever query "<question>" \
  --lancedb-uri lancedb --table-name nemo-retriever \
  --top-k 5 --format evidence

Use retriever ingest batch only for an explicitly requested Ray batch run.

Service workflow

Use these forms for an already deployed Retriever service:

retriever ingest service <file-or-directory> \
  --service-url "$RETRIEVER_SERVICE_URL"

retriever query service "<question>" \
  --service-url "$RETRIEVER_SERVICE_URL" \
  --top-k 5 --format evidence

Set NEMO_RETRIEVER_API_TOKEN when the service requires Bearer authentication. Do not pass local LanceDB flags to the service commands.

Rules

  • Use the existing index or service when one is provided; do not rebuild it.
  • Use retriever ingest --help, retriever query --help, or the relevant batch / service help for options not shown here.
  • Answer only from retrieved evidence; preserve source and page metadata when the task requests citations.

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