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Google PaLM Language Model#

Use the Google PaLM Language Model node to use Google's PaLM models.

On this page, you'll find the node parameters for the Google PaLM Language 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: the model to use to generate the completion. n8n dynamically loads models from the Google PaLM API and you will only see the models available to your account.

Node options#

  • Maximum Number of Tokens: the completion length, in characters.
  • Sampling Temperature: controls the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations.
  • Top K: the number of token choices the model uses to generate the next token.
  • Top P: use a lower value to ignore less probable options.

Templates and examples#

AI agent chat

by n8n Team

View template details
OpenAI GPT-3: Company Enrichment from website content

by Lucas Perret

View template details
Ask questions about a PDF using AI

by David Roberts

View template details
Browse Google PaLM Language Model integration templates, or search all templates

Refer to LangChain's Google PaLM documentation for more information about the service.

View n8n's Advanced AI documentation.