Generate research ideas from PDFs using InfraNodus GraphRAG content gap analysis

This template can be used to generate research ideas from PDF scientific papers 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 the template will generate a research question, which will then be sent as an AI prompt to the InfraNodus GraphRAG system that will extract the answer from the documents.

As a result, you find the gap in a collection of research papers and bridge it in a few seconds .

The template is useful for:

- advancing scientific research - generating AI prompts that drive research further - finding the right questions to ask to bridge blind spots in a research field - 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.