Automate Comprehensive Literature Reviews with Multi-Database Search and GPT-4
Streamline your literature review process by searching multiple academic databases, parsing papers, and synthesizing findings into a structured document using GPT-4.
This workflow automates the complex task of conducting literature reviews by integrating multiple academic databases and leveraging GPT-4 for content synthesis. It searches for relevant papers, ranks them by citations, parses their content, and generates a comprehensive review document. This is particularly useful for researchers, PhD students, and grant writers who need to efficiently gather and analyze academic literature.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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