Monitor PDF uploads, extract text, build a GraphRAG knowledge graph, identify gaps, generate research questions, and notify you with ideas.
The AI agent processes uploaded PDFs by extracting plain text, then builds a GraphRAG knowledge graph to surface content gaps. It identifies the most critical gaps across the document set and generates focused research questions. Finally, it outputs the ideas and prompts, linked to their source documents, ready for immediate exploration.
Concretely, it handles end-to-end PDF-to-idea conversion.
Upload PDFs
Extract text
Create GraphRAG knowledge graph
Identify gaps
Generate research questions
Deliver ideas and prompts
Before: five concrete pain points in current workflows. After: five tangible outcomes you gain by using this AI agent.
A simple 3-step flow that turns PDFs into actionable ideas.
Upload one or more PDFs and convert them to plain text for graph-building.
Create a knowledge graph from the text and detect structural gaps between concept clusters.
Generate research questions to bridge the gaps and present ideas with source links.
One realistic scenario.
Scenario: A researcher uploads four PDFs in a single session. Time to results: about 15 minutes. Outcome: eight actionable research ideas with prompts, each tied to the relevant source sections.
Everyone who works with PDFs and research gaps benefits.
Identify overlooked gaps across a literature corpus and accelerate hypothesis formation.
Focus thesis topics by mapping gaps to candidate questions.
Prioritize reading lists and allocate review effort efficiently.
Map coverage and surface under-explored areas across papers.
Identify high-impact questions that justify funding decisions.
Bridge research with actionable insights for decision-making.
Connects with document storage, automation, and messaging tools.
Creates the knowledge graph, detects gaps, and generates questions from PDFs.
Syncs PDFs and can trigger the workflow when new files arrive.
Orchestrates the 3-step flow and routes results to your tools.
Notifies you of results and provides quick access to ideas.
Practical scenarios where this AI agent adds value.
Practical answers to common questions.
You need an InfraNodus GraphRAG API account and key. OpenAI keys are not required. The agent uses GraphRAG to build the knowledge graph, identify gaps, and generate questions. If you already have an InfraNodus account, connect your API key to enable processing of your PDFs. No separate language model keys are required to run the workflow.
Yes. The agent accepts batches of PDFs and processes them in sequence, returning a consolidated set of gaps and questions. You can also run the same batch against a different document subset to compare gaps.
Yes. An active InfraNodus GraphRAG API account and key are required to access the knowledge graph and integrated AI capabilities. The workflow does not rely on external OpenAI keys. This ensures you can leverage InfraNodus’ native reasoning directly on your documents.
Results are presented in the web form with downloadable prompts and idea summaries. Outputs are linked to their source PDFs, so you can trace each idea to the relevant document sections. You can also push results to Slack or Google Drive if you’ve connected those integrations.
Yes. If you enable Google Drive, PDFs added to a folder can automatically trigger the workflow and keep outputs synchronized with your drive. This makes it easy to scale processing across many papers.
Yes. You can adjust settings in Step 4 to always use the biggest gap identified, or tailor gap-finding rules to prioritize certain topics. This gives you control over how aggressively gaps are surfaced and which clusters are emphasized.
Processing is designed to handle typical research PDFs efficiently, but very large files may require splitting. If you’re working with dozens of large documents, consider batching them and processing sequentially to avoid timeouts. The system also supports batch processing with a clear progress indicator.
Monitor PDF uploads, extract text, build a GraphRAG knowledge graph, identify gaps, generate research questions, and notify you with ideas.
