Generate research questions from PDFs using InfraNodus content gap analysis

This template can be used to generate research questions from PDF documents (e.g. research papers, market reports) based on the content gaps found in text using the [InfraNodus knowledge graph](https://infranodus.com) GraphRAG knowledge graph representation.

Simply upload several PDF files (research papers, corporate or market reports, etc) and generate a research question / AI prompt in seconds.

The template is useful for:

- generating research questions - generating AI prompts that drive research further - finding blind spots in any discourse and generating ideas that address them. - avoiding the generic bias of LLM models and focusing on what's important in your particular context

Using Content Gaps for Generating Research Questions

Knowledge graphs represent any text as a network: the main concepts are the nodes, their co-occurrences are the connections between them.

Based on this representation, we build a graph and apply network science metrics to rank the most important nodes (concepts) that serve as the crossroads of meaning and also the main topical clusters that they connect.

Naturally, some of the clusters will be disconnected and will have gaps between them. These are the topics (groups of concepts) that exist in this context (the documents you uploaded) but that are not very well connected.