After the synchronization, the assets are available in the specified domain. By default, the assets are shown in a plain list, but you can enable a multi-path hierarchy to show it in a tree structure.
Warning Do not move the assets to another domain. Doing so may lead to errors during future synchronizations.
Synchronized metadata per asset type
This table shows the metadata for the Collibra asset types created when you synchronize Dataiku. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.
- For LLM Mesh models, Dataiku only provides the model name. There is no description, date, or owner, so those fields stay empty on the asset. The name shows the provider, connection, and model, for example,
bedrock:my-connection:amazon.nova-micro-v1:0. - Accuracy, precision, and error values appear only when Dataiku has them for that model. A metric that does not apply to the model stays empty.
- A training dataset is represented by its storage location: a Storage Container and File for S3 data, or a Database, Schema, and Table for a SQL table. The AI Model Version asset links to the File or Table asset.
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Base Model | Description from source system | DescriptionFromSourceSystem |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Owner in Source | OwnerInSource | |
| Source Tags | SourceTags | |
| Version | Version | |
| AI Base Model has version / is version of AI Model Version | ModelHasVersion | |
| AI Model Version | Description | Description |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Status in Source | StatusInSource | |
| Version | Version | |
| Framework | Framework | |
| Model Accuracy | ModelAccuracy | |
| Model Precision | ModelPrecision | |
| Mean Absolute Error | MeanAbsoluteError | |
| Mean Squared Error | MeanSquaredError | |
| AI Base Model has version / is version of AI Model Version | ModelHasVersion | |
| AI Model Version is deployed by / is deployment of AI Model Deployment | ModelVersionIsDeployedByModelDeployment | |
| AI Model Version trained by / trains Asset | AIModelTrainedByAsset | |
| AI Model Deployment | Creation Date in Source | CreationDateInSource |
| Initiating User in Source | InitiatingUserInSource | |
| Modification Date in Source | ModificationDateInSource | |
| AI Model Deployment is exposed through / exposes AI Endpoint | DeploymentsExposedThroughEndpoint | |
| AI Endpoint | Access Method | AccessMethod |
| Access Instructions | AccessInstructions | |
| Traffic Split Percentage | TrafficSplitPercentage | |
| AI Agent | Source Tags | SourceTags |
| Tool Usage | ToolUsage | |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Modification Date in Source | ModificationDateInSource | |
| AI Agent uses / is used by AI Model Version | AIAgentUsesAIModel | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version | Version | Version |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Modification Date in Source | ModificationDateInSource | |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| AI Agent Tool |
Description (populated only when Dataiku returns one) |
Description |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| Storage Container |
URL |
Url |
| Storage Container contains / contained in File | FileContainerContainsFile | |
| File |
URL |
Url |
| Database | Name only. | |
| Schema | Name only. | |
| Table | Name only. |