How to Enable the Grounding Option for Gemini 2 AI Model in n8n?

Based on the current documentation for the Google Gemini Chat Model node, the available options are limited to model selection, token limits, sampling parameters, and safety settings. There isn’t a direct parameter or built‐in support for a “grounding” option (i.e., a native search tool) as seen in AI Studio.

If you want to incorporate additional search functionality in your workflows, here are a few approaches you might consider:

1. Combine Nodes:
   Use an additional search or data retrieval node (or an HTTP Request node if you’re calling the API directly) to perform the grounding/search function. The output from this node can then be passed into the Gemini Chat Model node to provide more context or steer the conversation.

2. Custom Workflow Configuration:
   Modify your workflow so that you perform a preliminary search or context gathering step before invoking the Chat Model node. This could be done by integrating external search APIs or databases where you store relevant grounding information.

3. Feature Request or API Enhancement:
   If the Gemini API (or AI Studio) offers this capability on its end, you may consider reaching out to the n8n community or filing a feature request so that future releases can include direct support for the grounding option.

At the moment, there’s no native support for this option within the Gemini Chat Model node, so any implementation would need to be handled by augmenting your workflow with additional nodes or custom API calls.