After successfully authenticating using the IBM watsonx.ai Authenticator node, you can select an embedding model. Refer to IBM watsonx.ai documentation for more information on available embedding models. At the moment, only the embedding models from foundation models are supported.
Note: If you want to use a space, make sure that the space has a valid runtime service instance. You can check this at IBM watsonx.ai Studio under Manage tab in your space.
The model to use for the embedding generation.
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To use this node in KNIME, install the extension KNIME Python Extension Development (Labs) from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
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