Search documents through NeMo Retriever MCP and use retrieved passages to support answers. Add missing documents when server access is confirmed, then search them while preserving available document identifiers and page numbers for citations.
中文简介正在准备中。当前显示英语简介。
Use when a task needs to search or add documents through NeMo Retriever MCP.
安装前可以查看交给 AI 代理的指令内容。
Use the NeMo Retriever MCP tools exposed under retriever instead
of the retriever CLI.
The server exposes MCP tools, not MCP resources. Do not call
list_mcp_resources to discover documents or decide whether Retriever is
available; an empty MCP resource list is expected.
query to search documents already available to Retriever.ingest_documents only when required documents are not yet searchable
and server-readable paths are explicitly available. Do not assume that paths
visible to the agent are also readable by the Retriever server.query to retrieve evidence from the added
documents.top_k=5 and format="hits". Request more only when the first
successful response does not contain enough evidence to answer the task.document_id, source_id,
or pdf_basename, along with page numbers, when the task requests citations
or structured output.query fails, inspect the error and retry with corrected parameters or a
shorter equivalent query. If it still fails, report the error before using
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Move pandas-style table processing to NVIDIA GPUs using cuDF. Choose minimal-change acceleration or explicit GPU code, handle joins and aggregations, compare results with pandas, and use dask-cuDF when data exceeds GPU memory.
中文简介正在准备中。当前显示英语简介。
Customize NVIDIA Nemotron Voice Agent’s Generic Pipecat example for appointment scheduling, five-field patient intake, or a custom healthcare conversation. Build prompts and tool handlers without a separate backend, then validate conversation behavior, services, and voice interaction.
中文简介正在准备中。当前显示英语简介。
Calibrate live cameras by recording their RTSP video streams through VIOS and processing the clips with AutoMagicCalib. The workflow imports settings and alignment files, checks readiness, tracks calibration progress, and retrieves results.
中文简介正在准备中。当前显示英语简介。
Test a running AMC service with the bundled four-camera warehouse dataset. Run camera calibration from upload to completion, then check distance and image projection errors against ground-truth data to verify the installation.
中文简介正在准备中。当前显示英语简介。
Calibrate multiple cameras from recorded MP4 files through the AutoMagicCalib REST API. The skill handles project creation, uploads, input verification, progress checks, and evaluation when reference data is supplied, with optional VGGT refinement.
中文简介正在准备中。当前显示英语简介。
Set up AutoMagicCalib from NGC release containers using Docker Compose. The skill handles registry authentication, port and path configuration, optional VGGT model download, service startup, and readiness checks for the backend and web interface.
中文简介正在准备中。当前显示英语简介。