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Cohere Model node#

Use the Cohere Model node to use Cohere's models.

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

This node lacks tools support, so it won't work with the AI Agent node. Instead, connect it with the Basic LLM Chain node.

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 Options#

  • Maximum Number of Tokens: Enter the maximum number of tokens used, which sets the completion length.
  • Sampling Temperature: Use this option to control the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations.

Templates and examples#

Automate Sales Cold Calling Pipeline with Apify, GPT-4o, and WhatsApp

by Khairul Muhtadin

View template details
Build a Document QA System with RAG using Milvus, Cohere, and OpenAI for Google Drive

by Aitor | 1Node

View template details
Basic RAG chat

by JustinLee

View template details
Browse Cohere Model integration templates, or search all templates

Refer to LangChains's Cohere documentation for more information about the service.

View n8n's Advanced AI documentation.

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