NVIDIA released Auto Ontology, an Apache 2.0 open-source library designed to build semantic layers from enterprise metadata. The tool helps ground AI agents that generate SQL queries by serving context through MCP, CLI, and API interfaces. Developers can use the framework to create graph-based reasoning layers over their data to improve explainability in LLM workflows.
Testing by NVIDIA showed the framework cuts ontology build time by 90 percent. The library generates a semantic layer that enables deterministic query generation for large language model workflows. It supports graph-based reasoning layers over data to improve explainability. Users can integrate the tool into their existing systems to handle enterprise metadata more efficiently.
Organizations deploying AI agents for data analysis should evaluate Auto Ontology to reduce the time spent building semantic layers. The significant reduction in build time allows teams to focus on refining query logic rather than manual ontology creation. This tool offers a practical way to ground AI agents in enterprise data structures while maintaining high performance standards.