This n8n workflow automates the process of transferring files from a specific Google Drive folder to an InfraNodus graph for visual analysis and knowledge management. Starting with a manual trigger, the workflow searches a specified Google Drive folder and retrieves all files within. It then iterates over each file, downloads its content, and determines the file type through a switch node. Based on the mime type, it extracts text from PDFs, plain text files, or Markdown documents using dedicated extraction nodes. The cleaned and processed text is then sent via an HTTP request to InfraNodus’s API, where it is visualized as a knowledge graph. This workflow is especially useful for teams that regularly update shared folders with documents, enabling seamless integration between cloud storage and knowledge graph visualization. It can support research, content curation, or project documentation by automatically keeping InfraNodus graphs updated with the latest files.
Automated Upload of Google Drive Files to InfraNodus Graph
Node Count | 11 – 20 Nodes |
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Nodes Used | extractFromFile, googleDrive, httpRequest, manualTrigger, set, splitInBatches, stickyNote, switch |
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