Generate research questions from PDFs using knowledge g

This automation helps users discover new research directions and content ideas by analyzing the content of PDF documents and identifying structural knowledge gaps. Based on semantic graph analysis via InfraNodus GraphRAG.

## Who it´s for
- Researchers analyzing academic papers and seeking new topics to explore
- Content marketers generating ideas from existing materials
- Educators and students working with large volumes of text and needing fresh analytical angles
- Consultants and analysts identifying gaps in documentation or reports

## What the automation does
- User uploads one or more PDF files via a web form
- System converts files to text using ConvertAPI
- Text is combined and sent to InfraNodus GraphRAG API
- A knowledge graph is built, weakly connected topic clusters are identified
- An AI-generated research question or prompt highlighting content gaps is produced
- Result is returned directly to the user in the form interface

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic for form webhooks
- Integrations with ConvertAPI, InfraNodus GraphRAG API, and HTTP services
- Basic textual instructions for launch and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- ConvertAPI API key
- Access to InfraNodus GraphRAG API
- Web form capable of sending file data via webhook

## Benefits and outcomes
- Automatic detection of knowledge gaps in texts
- Generation of relevant research questions without manual review
- Acceleration of content research and academic workflows
- Support for strategic thinking through gap visualization
- Scalable document analysis across large text sets

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.