This n8n workflow automates the process of retrieving, managing, and formatting citations from files using an OpenAI assistant integrated with a vector store, ideal for enhancing text references and sourcing in digital content. The workflow begins with a trigger that initiates the process, often via a chat button within n8n. It then interacts with the OpenAI API to retrieve thread content, including messages and annotations, while managing data flow with split nodes. The process extracts relevant files and citations, which are then processed to replace original text with formatted citations, using Markdown or HTML. Additional nodes aggregate data and convert Markdown to HTML if needed, providing a flexible way to enhance citation accuracy and presentation. This workflow is particularly useful for content creators, researchers, or developers aiming to automate a reliable citation process in documentation, academic writing, or content management systems.
Automated OpenAI Citation Extraction and Formatting Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, aggregate, code, httpRequest, markdown, set, splitOut, stickyNote |
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