nemo-retriever
Use when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed…
Skill by NVIDIA
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, frontend, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/nemo-retriever
What's inside
- Skill name
nemo-retriever- Description
- 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.
- License
- Apache-2.0
- Instructions
- 79 lines in SKILL.md · view on GitHub
Files (5)
- BENCHMARK.md
- SKILL.md
- evals.json · evals/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# NeMo Retriever Use the `retriever` CLI. Prefer it over hand-built retrieval code. ## Install only when missing Create a project-local Python environment: ```bash uv venv .venv --python 3.12 export PATH="$PWD/.venv/bin:$PATH" ``` Install the package variant required by the workflow: ```bash # 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: ```bash retriever ingest <file-or-directory> \ --lancedb-uri lancedb --table-name nemo-retriever ``` Query it: ```bash 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: ```bash 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.
From NVIDIA/skills, Apache-2.0.
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Compare and alternatives
Featured in
Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
nemo-retriever skill. Agent Mart. https://agentmart.dev/skills/nvidia-nemo-retriever (last updated 2026-10-24)