Embeddings Ollama

Use the Embeddings Ollama node to generate embeddings for a given text.

On this page, you'll find the node parameters for the Embeddings Ollama node, and links to more resources.

Credentials

Refer to the Ollama credentials documentation for authentication information for this node.

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

Node parameters

• Model: Select the model to use to generate the embedding. Choose from:

  • all-minilm (384 Dimensions)

  • nomic-embed-text (768 Dimensions)

Learn more about available models in Ollama's models documentation.

Templates and examples

Browse Embeddings Ollama node documentation integration templates or search all templates

Related resources

Refer to Langchain's Ollama embeddings documentation for more information about the service.

View n8n's Advanced AI documentation.