This n8n workflow streamlines the process of extracting content gaps from PDF documents to generate targeted research questions and AI prompts. It enables users to upload PDF files through a form, which are then converted to text, processed to prepare for analysis, and sent to InfraNodus to analyze the knowledge structure. InfraNodus identifies the least connected concept clusters in the content, and generates insightful questions that bridge these gaps, providing valuable research prompts. The workflow culminates in displaying the AI-generated questions directly to the user, making it an invaluable tool for academics, researchers, and content creators seeking to identify key topics and content gaps for further exploration.
**Step-by-step Workflow Explanation:**
1. Users upload PDF files via a web form trigger.
2. Uploaded binary files are converted into PDF format using a code node.
3. Text is extracted from the converted PDFs; an optional ConvertAPI node can be used for higher-quality extraction.
4. Extracted text from all PDFs is combined into a single plaintext string by a code node.
5. The combined text is prepared and sent to InfraNodus, a tool that builds a knowledge graph from the text, detects topical gaps, and generates relevant research questions.
6. The generated questions or prompts are displayed back to the user through a form response, providing immediate insights.
**Use Cases:**
This workflow is ideal for researchers and educators who want to quickly identify content gaps and generate research questions from a collection of PDF documents, such as research papers, textbooks, or reports, without manually analyzing each file.
Reviews
There are no reviews yet.