Automate systematic literature reviews with Google Drive, GPT-4, Gemini, Qdrant and Airtable

How it works Automates systematic literature review by downloading papers from Google Drive, extracting text, and evaluating them against strict inclusion/exclusion criteria using LLM agents

Routes included papers to Qdrant vector stores with Gemini embeddings for semantic search, and excluded papers to a separate folder

Logs all decisions to Airtable with PRISMA-compliant justification for complete audit trails

Set up steps Connect Google Drive credentials to access your paper folder

Configure Airtable base and table for decision logging

Add OpenAI (GPT-4) and Google Gemini API credentials for LLM evaluation and embeddings

Set up Qdrant instances for vector storage (supports up to 3 collections)

Keep detailed descriptions of your inclusion/exclusion criteria in the sticky notes inside your workflow

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Quality Score
intermediate
Complexity
Author:Jannik Hiller(View Original →)
Created:2/13/2026
Updated:2/17/2026

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