Automated Gemini File Search and Retrieval with n8n
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This n8n workflow automates the process of creating a file store, uploading documents using Google Gemini's API, and performing RAG-based queries. It leverages the `httpRequest` node for API interactions and the `OpenRouter` node for AI-powered question answering.
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About This Workflow
Overview
This workflow is designed to set up a powerful retrieval-augmented generation (RAG) system using n8n. It automates the ingestion of files into a Google Gemini File Store, allowing for efficient searching and retrieval of information. The workflow begins with a trigger (either a form submission for file uploads or a manual execution) and proceeds to create a file store, upload the specified file, and then import it into the store. Subsequently, it can handle queries using the RAG Agent node, which utilizes the Knowledge Base tool (powered by Gemini's file search capabilities) to provide grounded and sourced answers.
Key Features
- Automates Google Gemini File Store creation.
- Enables file upload and import into the store.
- Integrates with AI models via OpenRouter for natural language querying.
- Supports Retrieval-Augmented Generation (RAG) for factually grounded answers.
- Uses
httpRequestnodes for direct API interactions.
How To Use
- Configure Credentials: Ensure your Google API credentials and OpenRouter API credentials are set up in n8n.
- Set up File Store: The
Create File Storenode will create a new file store. You may need to adjust thedisplayName. - Upload Files: Use the
On form submissiontrigger to upload files, or manually trigger theUpload Filenode. - Import File: The
Import Filenode will add the uploaded file to your file store. Ensure thefile_nameparameter is correctly mapped. - Configure RAG Agent: Set up the
RAG Agentnode with your desired system message and connect it to theKnowledge Basetool. - Querying: The
Knowledge Basenode sends user queries to Gemini, which searches the file store for relevant information.
Apps Used
Workflow JSON
{
"id": "77208af7-ec68-493f-b79d-5efca1251a77",
"name": "Automated Gemini File Search and Retrieval with n8n",
"nodes": 0,
"category": "AI Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 77208af7-ec68...
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