NVIDIA releases Auto Ontology semantic layer for AI agent SQL
MarkTechPost: NVIDIA Releases Auto Ontology: An Open Semantic Layer That Grounds AI Agent SQL
NVIDIA has released Auto Ontology, an open library under the Apache 2.0 license. NVIDIA Auto Ontology is a semantic layer framework that builds a context layer from enterprise metadata. Agents use that layer to write SQL against certified business definitions. The repository states the problem plainly: a fast revenue answer is worthless if the number is wrong. TL;DR Library: Default LLM is nvidia/nemotron-3-nano-30b-a3b, with Nemotron embedding and reranking models. Runs on: Docker
Get smart on it
NVIDIA has released Auto Ontology, an open semantic layer that helps AI agents write accurate SQL queries by providing context about where data lives and what business terms mean. The system sits between an agent and a data warehouse, translating natural language questions into SQL while ensuring queries use certified business definitions rather than raw database schemas. Auto Ontology can be deployed locally with Docker or on Kubernetes, accepts various data sources and AI models, and exposes its capabilities through an MCP server, CLI, and REST API. While NVIDIA reports a 90 percent reduction in ontology creation time in its own testing, no published accuracy benchmarks are available yet, requiring users to run their own evaluations to verify performance.
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