This n8n workflow automates the process of fetching, analyzing, and categorizing research papers from Hugging Face. Initiated on a schedule, it retrieves paper details, checks if the paper already exists in a Notion database, and performs in-depth analysis using OpenAI. The workflow extracts key information such as abstracts, stores insights, and sends summarized analysis to Slack for review. This automation streamlines research workflows and keeps your knowledge base updated efficiently.
The process begins with a scheduled trigger, followed by looping through a list of papers. For each paper, it requests detailed information from Hugging Face, extracts relevant content, and verifies whether the paper is already recorded in Notion. If new, it fetches the paper’s abstract, analyzes it with OpenAI, and then stores the summary in Notion while simultaneously notifying the team via Slack. This setup is ideal for research teams or AI enthusiasts who want to stay updated with the latest papers, automate document management, and gain quick insights.
Overall, this workflow combines APIs, cloud services, and automation best practices to create an intelligent and efficient research management system.
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