Hub
Pricing About
NodeNode / Source

KNIME Hub Embeddings Connector

KNIME LabsAIModelsKNIME
Drag & drop
Like

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.

Node details

Input ports
  1. Type: AbstractHubAuthenticationPortObject
    KNIME Hub Credential

    Credential for a KNIME Hub.

Output ports
  1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
    KNIME Hub Embeddings

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

Extension

The KNIME Hub Embeddings Connector node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
  2. Go to item
  3. Go to item

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits