Comprehensive Literature Reviews with GPT-4 and Multi-Database Search

This n8n workflow provides a robust framework for generating comprehensive literature reviews. It leverages the power of OpenAI's GPT-4 for text generation and includes a placeholder for integrating multi-database search results. The workflow is designed to be highly customizable, allowing users to tailor the input data and the generated output.

What it does

This workflow outlines the core components for a literature review generation system:

1. Sticky Note: Provides a clear starting point and context for the workflow, indicating its purpose.
2. Code (Input Data): This node is intended to hold or generate the input data for the literature review. This could be a list of research papers, key findings, or specific topics to be covered.
3. OpenAI (GPT-4): Takes the input data from the "Code (Input Data)" node and uses OpenAI's GPT-4 model to generate a literature review based on the provided information.
4. Write Binary File: Saves the generated literature review from the OpenAI node into a binary file. This allows for persistent storage of the output, potentially as a text file, PDF, or other document format.

Prerequisites/Requirements

• n8n Instance: A running n8n instance to import and execute the workflow.
• OpenAI Account & API Key: An active OpenAI account with access to the GPT-4 model and a corresponding API key configured as a credential in n8n.

Setup/Usage

1. Import the workflow: Download the provided JSON and import it into your n8n instance.
2. Configure OpenAI Credentials:
   • In the "OpenAI" node, select or create an OpenAI API credential.
   • Ensure your API key has access to the GPT-4 model.
3. Customize Input Data:
   • Open the "Code (Input Data)" node.
   • Modify the JavaScript code to provide the data for your literature review. This could involve:
     • Hardcoding a list of research paper titles and abstracts.
     • Fetching data from a previous node (e.g., a database query, an RSS feed, a web scraper).
     • Defining specific prompts or instructions for GPT-4.
4. Configure OpenAI Prompt:
   • Open the "OpenAI" node.
   • Adjust the "Model" to gpt-4 (or your preferred version).
   • Refine the "Prompt" to guide GPT-4 in generating the desired literature review format and content.
5. Configure Output File:
   • Open the "Write Binary File" node.
   • Specify the "File Name" and "File Path" where you want to save the generated literature review.
   • Ensure the "Encoding" and "Mime Type" are appropriate for the output (e.g., text/plain for a plain text file, application/pdf if you're generating a PDF elsewhere).
6. Execute the workflow: Once configured, run the workflow to generate your literature review.