Automated Academic Paper Monitoring with PDF Vector and GPT-3.5

This n8n workflow automates the process of monitoring for new academic papers, extracting key information, and generating alerts via Slack and email. It's designed to keep you updated on specific research areas without manual searching.

What it does

This workflow is currently a placeholder and does not contain active trigger or data processing nodes. Based on the available nodes, a fully implemented version would likely perform the following steps:

1. Trigger: (Missing from JSON, but implied by the "Schedule Trigger" node) Periodically checks for new academic papers or updates from a source (e.g., RSS feed, API).
2. Code Execution: (Placeholder) A Code node is present, which would typically be used to write custom JavaScript logic. This could involve:
   • Fetching paper details from a source.
   • Processing PDF content (e.g., using a PDF vectorization library, though not explicitly present in the current nodes, the directory name suggests this capability).
   • Extracting specific data points from paper abstracts or full text.
3. Data Transformation: The Edit Fields (Set) node would be used to structure or modify the extracted data into a consistent format for subsequent actions.
4. AI Analysis (OpenAI): The OpenAI node suggests that the workflow would leverage AI (like GPT-3.5) to:
   • Summarize paper content.
   • Identify key themes or findings.
   • Determine relevance to predefined research interests.
   • Generate concise alerts.
5. Slack Notification: Sends an alert message to a specified Slack channel with the summary and relevant details of new papers.
6. Email Notification: Sends an email with the paper details to a designated recipient or mailing list.

Prerequisites/Requirements

To fully implement and utilize this workflow, you would need:

• n8n Instance: A running instance of n8n.
• OpenAI API Key: For the OpenAI node to generate summaries or analysis.
• Slack Account: To receive notifications in a Slack channel.
• SMTP Server/Email Service Credentials: For the Send Email node to send email alerts.
• Data Source for Papers: An API endpoint, RSS feed, or other method to retrieve information about new academic papers (this would be connected to the trigger node).

Setup/Usage

1. Import the Workflow:
   • Copy the provided JSON code.
   • In your n8n instance, go to "Workflows" and click "New".
   • Click the "Import from JSON" button and paste the copied JSON.
2. Configure Credentials:
   • Locate the OpenAI node and configure your OpenAI API key credential.
   • Locate the Slack node and set up your Slack API token or webhook credential.
   • Locate the Send Email node and configure your SMTP server details or email service credentials.
3. Implement Trigger and Logic:
   • Add a trigger node (e.g., an HTTP Request node to poll an API, an RSS Feed node, or a Cron node combined with a custom script to fetch data).
   • Flesh out the Code node with JavaScript logic to fetch, parse, and prepare the paper data.
   • Configure the Edit Fields (Set) node to transform the data as needed.
   • Configure the OpenAI node with the desired prompts for summarization or analysis.
   • Set up the Slack and Send Email nodes with the desired channels, recipients, and message templates, utilizing data from previous nodes.
4. Activate the Workflow: Once configured, activate the workflow to start monitoring.

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Note: The provided JSON only contains the "building blocks" (nodes) for the described functionality. The actual connections between these nodes and the specific configurations (e.g., API endpoints, prompts, email addresses) are not present and would need to be added during setup.