Automated Research Question Generation from PDFs via InfraNodus Content Gap Anal

Overview

This workflow automates the extraction and analysis of PDF documents to generate insightful research questions using InfraNodus Content Gap Analysis. Users upload PDF files through a form, which are then processed and analyzed to identify knowledge gaps and suggest targeted research questions.

Key Features

• Automated PDF Processing: Converts uploaded files to PDF and extracts text content seamlessly.
• InfraNodus Integration: Utilizes InfraNodus GraphRAG for advanced content gap analysis and question generation.
• User-Friendly Interface: Initiated via a form trigger, with results displayed directly to the user.
• Custom Code Nodes: Employs code nodes for data preparation and transformation, ensuring accurate analysis.

Benefits

• Time Savings: Eliminates manual review and question formulation, accelerating research workflows.
• Enhanced Insights: Leverages AI-driven analysis to uncover hidden gaps and generate high-quality questions.
• Seamless Automation: Integrates multiple steps into a single, streamlined process, reducing errors and manual intervention.

Use Cases

• Academic research teams seeking to identify new research directions.
• Content strategists analyzing documents for topic gaps.
• Organizations automating literature review and knowledge management processes.