Semantic Context AI Evals and Sandboxing
Last updated: 9/23/2026Information note
Important Disclaimer: Some of the features detailed in this document may not apply and/or be available for the particular edition/version you are using.
Context Sandbox is an environment that lets teams validate whether an ontology or semantic definition returns the correct answer when consumed by an LLM. It is verified against live data rather than assumed from the model alone.
Highlights
- Testing Environment - Run representative business questions against governed context.
- Answer Evaluation - Compare outputs with expected results or approved reference answers.
- Binding Validation - Confirm ontology concepts resolve to the correct lineage, tables, columns, metrics.
- Grounding Inspection - See which definitions, relationships, or physical assets supported the result.
Use cases
- AI Context & Governance
- Audit & Compliance
Semantic Model Testing Environment
Coming soon.
Semantic Model Answer Evaluation
Coming soon.
Semantic Model Binding Validation
Coming soon.
Semantic Model Grounding Inspection
Coming soon.