KNIME Hub Embeddings Connector

Connects to an Embeddings Model configured in the GenAI Gateway of the connected KNIME Hub using the authentication provided via the input port.

Use this node to generate embeddings, which are dense vector representations of text input data. Embeddings are useful for tasks like similarity search, e.g. in a retrieval augmented generation (RAG) system but can also be used for clustering, classification and other machine learning applications.

Options

Model

Select the model to use.

Input Ports

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Credential for a KNIME Hub.

Output Ports

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An embeddings model that connects to a KNIME hub to embed documents.

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