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

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

Comprehensive Literature Review Automation

Automate your literature review process by searching across multiple academic databases, parsing papers, and organizing findings into a structured review document.

Features:

• Search multiple academic databases simultaneously (PubMed, ArXiv, Google Scholar, etc.)
• Parse and analyze top papers automatically
• Generate citation-ready summaries
• Export to various formats (Markdown, Word, PDF)

Workflow Steps:

1. Input: Research topic and parameters
2. PDF Vector Search: Query multiple academic databases
3. Filter & Rank: Select top relevant papers
4. Parse Papers: Extract content from PDFs
5. Synthesize: Create literature review sections
6. Export: Generate final document

Use Cases:

• PhD students conducting systematic reviews
• Researchers exploring new fields
• Grant writers needing background sections