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Results for “nvidia-ontology”

3 skills · sorted by relevance

Ask Auto Ontology questions in plain language, then check the generated SQL, returned data, and written answer. Supports MCP or authenticated REST access to verify that reported counts and other findings match the intended question.

  • Checking a count against its SQL and returned data
  • Confirming business terms before asking a question
  • Reviewing incomplete or truncated query results
NVIDIA/skills3.7KUpdated Oct 21, 2026

Set up Auto Ontology with Helm or Docker Compose, or connect an agent to an existing deployment through MCP, an agent connection protocol. Guides database connections, readiness checks, and troubleshooting for startup and sign-in problems.

  • Installing Auto Ontology on Kubernetes
  • Running the stack on one machine with Docker Compose
  • Connecting an agent to an existing deployment
NVIDIA/skills3.7KUpdated Oct 21, 2026

Guides the definition and publication of business terms, relationships, and measures in Auto Ontology. Covers SQL validation, model import and export, and persisted-change checks to verify that saved definitions reflect the intended business meaning.

  • Define or revise business terms and relationships
  • Check measure formulas, units, and aggregation levels
  • Back up models and verify imports
NVIDIA/skills3.7KUpdated Oct 21, 2026