ai.evaluations
Purpose
The ai.evaluations dataset is the GenAI evaluation dataset. It stores evaluation results for your AI applications, including the user feedback scores you send. Coralogix ingests each feedback log into it, so you can query scores directly in DataPrime and build custom views, dashboards, or alerts on top of them.
ai.evaluations is a predefined dataset: Coralogix provisions it in the default dataspace, and your AI telemetry fills it.
Query the dataset
source ai.evaluations
| filter logRecord.attributes['gen_ai.evaluation.name'] == 'user_feedback'
Schema description
Every record carries the standard log record envelope: engine metadata in $m, labels in $l, and the evaluation payload in $d.
| Field | Type | Required | Description |
|---|---|---|---|
$d | object | Yes | Entity-type-specific payload — shape defined by each entity type's schema |
$l | map | Yes | User labels: free-form string-to-string map |
$l.<key> | string | No | |
$m | object | Yes | Engine metadata |
$m.cxEventId | string (uuid) | Yes | Globally unique event id |
$m.ingressTimestamp | string (date-time) | Yes | Time the event was ingested |
$m.priorityClass | string | Yes | Defines the feature-set enabled for the event One of: high, medium, low. |
$m.severity | string | Yes | Event severity level One of: Verbose, Debug, Info, Warning, Error, Critical. |
$m.timestamp | string (date-time) | Yes | Event timestamp |
Next steps
- See where feedback scores appear and how to investigate them in AI Explorer.
- See the other datasets Coralogix provisions in Predefined datasets.
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