Generate content ideas from PDFs with InfraNodus GraphRAG and AI gap analysis

This template can be used to find the content gaps in PDF documents using the [InfraNodus knowledge graph](https://infranodus.com) / GraphRAG text representation and then generate ideas / questions / AI prompts that bridge those gaps based on optimizing the knowledge graph's structure.

Simply upload several PDF files (research papers, corporate or market reports, etc) and generate an idea in seconds.

The template is useful for:

- generating ideas / questions for research - generating content ideas based on competitors' discourse - 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

What are Content Gaps and Knowledge Graphs?

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.