alicloud-ai-search-text-embedding-test

To run a smoke test for text embedding in Model Studio, execute the prepare_embedding_request script. This generates a sample request payload to validate that your embedding model is accessible and producing output without errors.

A text embedding smoke test verifies the fundamental ability to generate vector representations of text. You need to run one after deploying a new embedding model in Model Studio to confirm basic operational integrity and connectivity.

Yes, the Model Studio text embedding test requires a prepared request payload for the embedding API. You must run the provided script beforehand to generate this sample request format for the minimal operational check.

No, you cannot use this test to validate all functionalities. It performs a minimal smoke test to verify the core functionality of generating text embeddings, ensuring basic operational integrity rather than comprehensive model evaluation.

Your text embedding test might fail if the prepare_embedding_request script was not run to generate the necessary API request payload. Ensure your Model Studio embedding model is correctly deployed and accessible before executing the smoke test.

The best way to check if a newly deployed Model Studio embedding model is working is to run a minimal smoke test. This validates the core functionality of generating text embeddings to confirm the model is accessible and producing output without errors.