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Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts

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Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Automated Academic Paper Monitoring Stay updated with the latest research in your field. This bo...

Best for

  • Personal Productivity automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-pdfvector.pdfvector, n8n-nodes-base.openai, n8n-nodes-base.slack, n8n-nodes-base.emailsend

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by PDF Vector.

Original n8n.io source

1.1 Workflow description

Title
Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts
Workflow name
Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Automated Academic Paper Monitoring

Stay updated with the latest research in your field. This bot monitors multiple academic databases for new papers matching your interests and sends personalized alerts.

Bot Features:

  • Monitor keywords across multiple databases
  • Filter by authors, journals, or institutions
  • Daily/weekly digest emails
  • Slack notifications for high-impact papers
  • Automatic paper summarization

Workflow Components:

  1. Schedule: Run daily/weekly checks
  2. Search: Query latest papers across databases
  3. Filter: Apply custom criteria
  4. Summarize: Generate paper summaries
  5. Notify: Send alerts via email/Slack
  6. Archive: Store papers for future reference

Perfect For:

  • Research groups tracking their field
  • PhD students monitoring specific topics
  • Labs following competitor publications

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Bot Configuration

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Daily Schedule

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1

Block 3 - Set Search Parameters

Type / Role
n8n-nodes-base.set - set
Config choices
Version 1

Block 4 - Split Queries

Type / Role
n8n-nodes-base.code - code
Config choices
Version 1

Block 5 - PDF Vector - Search New Papers

Type / Role
n8n-nodes-pdfvector.pdfVector - pdfVector
Config choices
Version 1

Block 6 - Filter Recent Papers

Type / Role
n8n-nodes-base.code - code
Config choices
Version 1

Block 7 - Generate Summary

Type / Role
n8n-nodes-base.openAi - openAi
Config choices
Version 1

Block 8 - Format Digest

Type / Role
n8n-nodes-base.code - code
Config choices
Version 1

Block 9 - Send Slack Alert

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 1

Block 10 - Email Digest

Type / Role
n8n-nodes-base.emailSend - emailSend
Config choices
Version 1

3. Summary Table

Workflow Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts
Complexity intermediate
Nodes 10
Categories Personal Productivity, Multimodal AI
Author PDF Vector
Published 14 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7358/7358.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automated academic paper monitoring with PDF vector, GPT-3.5, & Slack alerts do?

This workflow contains community nodes that are only compatible with the self hosted version of n8n. Automated Academic Paper Monitoring Stay updated with the latest research in your field. This bo...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, Multimodal AI use case.