nemo-retriever The retriever CLI indexes a folder of PDFs into LanceDB ( retriever ingest ) and serves vector search over it ( retriever query ). For any task about searching/answering questions across a folder of PDFs, use this CLI — do not write a custom RAG. Beyond PDFs and beyond semantic search. retriever ingest also handles images, Office, HTML, TXT, audio, and video — see references/setup.md for the per-format recipe and references/install.md for the install extras ( [multimedia] , libreoffice, ffmpeg). For non-semantic operations — page filter, verbatim quote with citation, corpus-level aggregate, chart/image caption hits — see references/query.md . Don't fall back to native Read/Grep/Python on non-PDF inputs. Install (if retriever is missing) If command -v retriever returns nothing, follow references/install.md to install the NeMo Retriever Library before proceeding. It prints RETRIEVER_VENV= ; substitute that path for in every example in this skill (setup, query, troubleshooting, and the CLI references). Workflow — read the reference for the current phase, then execute Turn type Read this once Then execute Setup turn (first turn — ./lancedb/nv-ingest.lance doesn't exist) references/setup.md Build the index Query turn (every subsequent turn — user asks a question) references/query.md One retriever query call Anything errored or returned empty references/troubleshooting.md Apply the named recovery; do not improvise For the full retriever ingest / retriever query CLI specs, see references/cli/ingest.md and references/cli/query.md . You do not need these for routine turns — /bin/retriever --help is faster. Show more Installs 526 Repository nvidia/skills GitHub Stars 1.3K First Seen May 30, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn

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