Groq Chat Model node#
Use the Groq Chat Model node to access Groq's large language models for conversational AI and text generation tasks.
On this page, you'll find the node parameters for the Groq Chat Model 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: Select the model which will generate the completion. n8n dynamically loads available models from the Groq API. Learn more in the Groq model documentation.
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#
Related resources#
Refer to Groq's API documentation for more information about the service.
View n8n's Advanced AI documentation.