Automated Citation Retrieval for File Content Using OpenAI

This workflow automates the process of retrieving, managing, and formatting citations from files via OpenAI’s language models integrated within n8n. The main goal is to enhance the accuracy and clarity of AI-generated content by sourcing citations and references directly from a vector store. The workflow is triggered through a button within n8n, which initiates interaction with an OpenAI assistant equipped with a vector store designed for file retrieval. The process begins by capturing the chat thread, then splits the conversation into manageable parts such as individual messages, content segments, and citations. It retrieves file details and filenames based on file IDs, ensuring relevant data is extracted efficiently. The collected data is then combined and formatted, replacing citation references with accurate links or tags, optionally converting Markdown to HTML. This setup is practical for content creators, researchers, or data analysts who need precise sourcing and citation management within AI-assisted workflows, improving transparency and credibility in generated content.