Multimodal embedding

Prerequisites

Before you begin, ensure that you have:

• Activated the AI Search Open Platform service. See Activate the service.

• An API key for authentication. See Obtain an API key.

• SDK version 2.1.0 or later. To install or upgrade, run:

  pip install --upgrade alibabacloud_searchplat20240529

Call the multimodal embedding service

The following example calls the multimodal embedding service with a text input.

from alibabacloud_tea_openapi.models import Config
from alibabacloud_searchplat20240529.client import Client
from alibabacloud_searchplat20240529.models import GetMultiModalEmbeddingRequest, GetMultiModalEmbeddingRequestInput

# Configure the client
config = Config(
    bearer_token="Replace with your API-KEY",
    endpoint="<your-api-endpoint>",
    protocol="http"
)
client = Client(config=config)

# Build the request
request = GetMultiModalEmbeddingRequest()
request.from_map({
    "input": [
        {"text": "Science and technology are the primary productive forces"}
    ]
})

# Call the service
# "default" is the workspace name; replace "ops-m2-encoder" with another supported service ID if needed
response = client.get_multi_modal_embedding("default", "ops-m2-encoder", request)
print(response)

Replace the following placeholders:

Parameters

The request body must not exceed 8 MB. For the full parameter reference, see Multimodal embedding API reference.

What's next

• Multimodal embedding API reference