The idea is:
To update the existing Google Gemini Chat Model node in N8N to include support for Google’s “Grounding with Google Search” feature. This should ideally be implemented as a simple toggle option within the node’s parameters, allowing users to easily enable or disable grounding for their Gemini API calls directly within the node interface.
My use case:
I want to leverage the Grounding feature within N8N’s AI capabilities, specifically when using the AI Agent node and the Basic LLM Chain node. Current workarounds using the HTTP Request node to achieve grounding are cumbersome and don’t integrate seamlessly into these dedicated AI workflows. My goal is to build agents and chains that can access and utilize real-time information from Google Search directly through the Gemini node.
I think it would be beneficial to add this because:
Integrating the Grounding feature natively into the Gemini node would solve several key problems and offer significant benefits:
- Access to Current Information: It allows Gemini models within N8N workflows to access up-to-date information beyond their training data cut-off.
- Improved Accuracy and Reliability: Grounding helps reduce model hallucinations and increases the factual accuracy of responses by referencing specific, verifiable search results.
- Enhanced AI Capabilities: It enables more powerful and contextually relevant applications within N8N, especially for AI Agents and LLM chains that depend on real-time data (e.g., current events analysis, market research, fact-checking).
- Simplified Workflows: It provides a much cleaner and more integrated solution compared to manually setting up HTTP requests for search and feeding the results back into the LLM, making complex AI workflows easier to build and maintain. Internet access is crucial for LLMs to provide relevant, accurate, and timely information.
Any resources to support this?
- Google AI Documentation on Grounding: https://ai.google.dev/docs/grounding
- There appears to be existing interest in the N8N community for this feature, as indicated by previous posts and discussions (like the ones mentioned regarding Gemini updates and grounding).
Are you willing to work on this?
While I don’t have direct experience developing core N8N nodes (like @n8n/n8n-nodes-langchain.lmChatGoogleGemini), I am willing to contribute by testing the feature extensively or providing further use case details and feedback during development.
