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OpenSearch:Model list

Last Updated:Jun 17, 2026

Vector Search Edition supports built-in models and user-defined models. Use the Model list page to view and manage them.

User-defined models

To use your own models, add them in the console and then add them to the configuration table. For more information, see User-defined models.

Built-in models

Model ID

Model name

Model class

Model description

clip

Universal image-to-vector model-512 dimensions

Image vectorization

A universal image-to-vector model that supports image-to-image search and text-to-image search. The output has 512 vector dimensions.

clip_ecom

E-commerce enhanced image-to-vector model-512 dimensions

Image vectorization

An image-to-vector model enhanced for E-commerce scenarios that supports image-to-image search and text-to-image search. The output has 512 vector dimensions.

ops-text-embedding-1024-000-20231001

Enhanced Chinese text-to-vector-768 dimensions

Text embedding

Supports Chinese text-to-vector conversion. The Chinese text length cannot exceed 1024 tokens. The output has 768 vector dimensions.

ops-text-embedding-512-000-20231001

Enhanced Chinese text-to-vector-768 dimensions

Text embedding

Supports Chinese text-to-vector conversion. The Chinese text length cannot exceed 512 tokens. The output has 768 vector dimensions.

ops-text-embedding-128-000-20231001

Enhanced Chinese text-to-vector-768 dimensions

Text embedding

Supports Chinese text-to-vector conversion. The Chinese text length cannot exceed 128 tokens. The output has 768 vector dimensions.

ops-text-embedding-512-en-000-20231001

Enhanced English text-to-vector-768 dimensions

Text embedding

Supports English text-to-vector conversion. The English text length cannot exceed 512 tokens. The output has 768 vector dimensions.

ops-text-embedding-128-en-000-20231001

Enhanced English text-to-vector-768 dimensions

Text embedding

Supports English text-to-vector conversion. The English text length cannot exceed 128 tokens. The output has 768 vector dimensions.