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

Use Cases: PhD students conducting systematic reviews Researchers exploring new fields Grant writers needing background sections