GPT4All Embedding Model Selector

This node connects to an embedding model that runs on the local machine via GPT4All.

The default model was trained on sentences and short paragraphs of English text.

Note: Unlike the other GPT4All nodes, this node can be used on the KNIME Hub.

Options

Model retrieval

Defines how the model is retrieved during execution.

Available options:

  • Download: Downloads the model from GPT4All during execution. Requires an internet connection.
  • Read: Reads the model from the local file system.
Path to model

The local file system path to the model.

Number of threads

The number of threads the model uses. More threads may reduce the runtime of queries to the model.

If set to 0, the number of threads is determined automatically.

Input Ports

This node has no input ports

Output Ports

Icon

A GPT4All Embedding model that calculates embeddings on the local machine.

Popular Predecessors

  • No recommendations found

Popular Successors

  • No recommendations found

Views

This node has no views

Workflows

  • No workflows found

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Installation

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:

v5.9

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.9.0.v202511131614
On NodePit since: 2025-12-11
Last update: 2026-01-13
Tags: Modern UI
KNIME versions: Since v5.3

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!