🔬 Automate systematic literature reviews with Google Drive, GPT-4, Gemini, Qdrant and Airtable
⚡ 236 views · 🔬 Document Extraction & Analysis
Description
How it works
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Automates systematic literature review by downloading papers from Google Drive, extracting text, and evaluating them against strict inclusion/exclusion criteria using LLM agents
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Routes included papers to Qdrant vector stores with Gemini embeddings for semantic search, and excluded papers to a separate folder
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Logs all decisions to Airtable with PRISMA-compliant justification for complete audit trails
Set up steps
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Connect Google Drive credentials to access your paper folder
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Configure Airtable base and table for decision logging
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Add OpenAI (GPT-4) and Google Gemini API credentials for LLM evaluation and embeddings
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Set up Qdrant instances for vector storage (supports up to 3 collections)
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Keep detailed descriptions of your inclusion/exclusion criteria in the sticky notes inside your workflow
🔗 Nodes Used
Airtable, Google Drive, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, Extract from File
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File