list_models

Use the list models operation to list loaded embedding and reranking models available in Database.

Parameters

Parameter	Type	Value Range	Required	Default	Description	Notes
limit	int	> 0	No	None	Maximum number of models to return.	When omitted, the service applies its default page size.
offset	int	>= 0	No	None	Number of models to skip before returning this page.	Use with limit to request later pages.

Returns information about all models available for use in the database, limited to models currently loaded in the service.

List loaded models and print their names

models = client.list_models(limit=25, offset=0)
print([item.model_name for item in models.items or []])

Returns Example response: Each entry describes a loaded model; models available in storage but not yet loaded are not included.

• JSON response containing an array of models with:
• Model names
• Types (embedding, reranking)
• Algorithms
• Creation timestamps
• Attributes and parameters

{
    "items": [
        {
            "model_name": "ALL_MINILM_L12_V2",
            "algorithm": "ONNX",
            "mining_function": "EMBEDDING",
            "creation_date": "2026-01-27T07:23:21Z",
            "attributes": [
                {
                    "name": "DATA",
                    "value": "TEXT",
                    "data_type": "VARCHAR2",
                    "data_length": 32767
                },
                {
                    "name": "ORA$ONNXTARGET",
                    "value": "VECTOR",
                    "data_type": "VECTOR",
                    "data_length": 1593,
                    "vector_info": "VECTOR(384,FLOAT32)"
                }
            ]
        }
    ]
}

Return type ModelCollectionResponse