Embeddings Cohere#
Use the Embeddings Cohere node to generate embeddings for a given text.
On this page, you'll find the node parameters for the Embeddings Cohere node, and links to more resources.
Credentials
You can find authentication information for this node here.
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: the model to use to generate the embedding. Learn more about available models in Cohere's models documentation Choose from: * Embed-English-v2.0(4096 Dimensions) * Embed-English-Light-v2.0(1024 Dimensions) * Embed-Multilingual-v2.0(768 Dimensions)
Templates and examples#
Related resources#
Refer to Langchain's Cohere embeddings documentation for more information about the service.
View n8n's Advanced AI documentation.