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The Grounding detector identifies hallucinations and ungrounded claims in AI-generated responses. It verifies that assistant outputs are faithfully supported by the provided context, retrieved documents, or tool call results — critical for RAG pipelines and agentic workflows.

What it detects

  • Responses that contradict or are unsupported by retrieved context (groundedness)

Available models (versions)

  • Guardion-1-8B — multilingual grounding and hallucination detection
See the detailed model card in Guardion-1-8B for architecture and benchmarks.

Detection Categories

Dashboard Output

In the Guardion dashboard, the Grounding guardrail displays a binary SAFE / UNSAFE verdict for each evaluated response, along with the confidence score. This makes it easy to monitor grounding quality at a glance and drill into individual flagged responses for investigation.

Using the Grounding detector

Threshold levels

  • L1 (0.9): Confident
  • L2 (0.8): Very Likely
  • L3 (0.7): Likely
  • L4 (0.6): Less Likely

Notes

  • Best suited for RAG pipelines where factual accuracy against retrieved documents is critical.
  • Combine with Injection and Moderation detectors for comprehensive runtime safety.