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.

Pagination: Use limit and offset to request successive pages. Continue requesting pages while response.has_more is True.

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