Parse & Analyze Research Papers: PDF Vector, GPT-4 & DB Storage

Automates parsing PDFs of research papers into Markdown, extracts key insights with GPT-4, and stores results in a database for easy reference.

This n8n workflow streamlines research paper analysis by automatically processing PDF documents. It begins with a manual trigger or webhook receiving a PDF URL, then uses the PDF Vector node to parse the document into clean Markdown format enhanced by LLM for accuracy. Next, OpenAI's GPT-4 model analyzes the content to extract critical elements like main research questions, methodology, key findings, conclusions, and insights. The workflow generates concise summaries and structured data, making
Platform
n8n
Category
File & Document Management
Price
$14.99
Creator
Mateusz Eriksen

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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