Automated Google Drive File Extraction and Infranodus Graph Integration

Overview

This workflow automates the process of extracting content from files stored in Google Drive and mapping the extracted data into an InfraNodus graph for advanced text network analysis.

Key Features

• Automated File Search: Initiates on manual trigger to search for relevant files in Google Drive.
• Batch Processing: Efficiently loops through multiple files using batch processing.
• File Type Handling: Dynamically processes PDFs, text files, and markdown documents with specialized extraction nodes.
• Content Extraction: Utilizes dedicated extraction nodes to parse and convert file content into usable text.
• InfraNodus Integration: Automatically sends extracted text to InfraNodus via HTTP request for graph creation and analysis.

Benefits

• Time Savings: Eliminates manual file handling and data entry, streamlining knowledge management workflows.
• Enhanced Insights: Leverages InfraNodus to visualize and analyze relationships within extracted content.
• Scalability: Handles large volumes of files efficiently with batch and conditional logic.

Use Cases

• Research Teams: Aggregate and analyze research documents for thematic mapping.
• Content Managers: Organize and visualize large repositories of textual content.
• Business Analysts: Extract insights from internal documentation or reports stored in Google Drive.

Integrations & Automation

Key integrations include Google Drive for file management and InfraNodus for graph-based text analysis, connected via HTTP API calls. The workflow maximizes automation, reducing manual effort and enabling data-driven decision-making.