Automated Literature Reviews with GPT-4 & Multi-DB Search

Automates literature reviews by searching academic databases like PubMed and ArXiv, parsing PDFs, synthesizing summaries with GPT-4, and exporting formatted documents.

This n8n workflow revolutionizes academic research by automating the entire literature review process. Starting with user inputs like research topic, year range, and max papers, it leverages advanced PDF Vector Search to query multiple databases simultaneously, including PubMed, ArXiv, and Google Scholar. It retrieves top papers based on relevance, using fields like title, abstract, authors, citations, and DOIs. Key steps include filtering and ranking results for quality, parsing PDF content to
Platform
n8n
Category
Media & Entertainment
Price
$24.99
Creator
Fred Garcia

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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