This node establishes a connection with an Azure OpenAI Embedding Model. After successfully authenticating using the Azure OpenAI Authenticator node, you need to provide the name of a deployed embedding model found on the Azure AI Studio.
Note: If you use the Credentials Configuration node and do not select the "Save password in configuration (weakly encrypted)" option for passing the API key, the Credentials Configuration node will need to be reconfigured upon reopening the workflow, as the credentials flow variable was not saved and will therefore not be available to downstream nodes.
The name of the deployed model to use. Find the deployed models on the Azure AI Studio.
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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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