Automated Research Idea Generation from PDFs via InfraNodus

This workflow streamlines the process of extracting content insights from PDF documents and generating innovative research ideas. It begins with a user uploading PDFs through a form trigger, then converts the uploaded binary files into PDFs. The workflow proceeds with extracting text content from these PDFs, which is then combined into a single text string. Using InfraNodus’ GraphRAG API, the system analyzes the text to identify content gaps or areas of low connectivity within the knowledge graph. Based on this analysis, it generates targeted research questions aimed at bridging these gaps, thereby inspiring new research directions. The process includes multiple steps of API interaction, optional enhancements for better PDF conversion, and user-friendly display of the generated questions and insights. This workflow is ideal for researchers, content creators, or organizations seeking to uncover new research opportunities or content gaps from large PDF collections, efficiently turning document analysis into actionable ideas.