Generate Research Ideas from PDFs via InfraNodus GraphRAG

This n8n workflow automates the generation of novel research ideas from scientific papers or reports by leveraging InfraNodus GraphRAG for content gap analysis. Users upload multiple PDF files, and the workflow constructs a knowledge graph where concepts are nodes and co-occurrences form connections. It applies network science to detect disconnected topical clusters—indicating content gaps—and formulates targeted research questions to bridge them.

The process sends these questions as AI prompts to InfraNodus GraphRAG, which extracts precise answers from the documents, avoiding generic LLM biases and focusing on context-specific insights. This enables rapid advancement in research by highlighting blind spots and suggesting innovative connections.

Ideal for scientists, researchers, market analysts, and academics, it saves hours of manual analysis. Use cases include advancing scientific fields, creating AI-driven prompts for deeper inquiry, identifying underexplored areas in literature reviews, and generating hypotheses for grant proposals or publications.