Automated Research Paper Analysis Workflow

This n8n workflow automates the process of analyzing research papers to extract key insights and store them in a database. It begins with a manual trigger or webhook to start the process. The first step involves parsing a research paper from a provided URL using the PDF Vector node, which converts the document into a clean Markdown format. Next, the parsed content is sent to OpenAI’s GPT-4 model, which analyzes the paper to extract essential details such as the main research question, methodology, key findings, conclusions, limitations, and suggestions for future work. Finally, the insights are stored in a PostgreSQL database for easy retrieval and management. This workflow is particularly useful for researchers, academic institutions, or research organizations aiming to automate the extraction and organization of scientific literature insights, speeding up literature reviews or data curation tasks.