KNIME Hub Embedding Model Selector

Connects to an embedding 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.