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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

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