Automated Academic Paper Insights to Notion

This n8n workflow automates the process of gathering, analyzing, and storing academic paper data from Hugging Face into Notion. Scheduled to run weekly, it retrieves recent papers, extracts key information such as titles, abstracts, and URLs, and checks if the paper already exists in a Notion database. The workflow then requests detailed insights from OpenAI’s GPT-4 model to generate summaries, keywords, key contributions, technical details, and performance metrics. The resulting comprehensive analysis is stored in Notion for easy access and future reference. This workflow is highly useful for researchers, academics, or data scientists who want to keep an organized, up-to-date repository of relevant research papers with summarized insights.