Create fact-based articles from your knowledge sources with Super RAG and GPT-5
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs when someone submits an n8n form (“New article”). Along the way it connects OpenAI Chat Model. It also calls api.super.work over HTTP.
How it runs
Trigger: When someone submits an n8n form (“New article”).
- Prepare form values (Edit Fields (Set)): sets 2 fields: Title, Guidelines
- New content - generate research questions (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 mini; output parser: Structured Output Parser
- Split Out: splits a list into separate items
- Loop Over Questions (Loop Over Items (Split in Batches)): loops over the items in batches
- Aggregate: combines items into one
- Query Super Assistant (HTTP Request): calls api.super.work (POST)
- New content - Generate the AI output (Basic LLM Chain): sends a prompt to an LLM, with model: GPT 5 chat
- Format question and answer (Edit Fields (Set)): sets 2 fields: Question, Answer
- Article result (Edit Fields (Set)): sets 1 field: Article
Services it uses
HTTP calls to: api.super.work
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Edit Fields (Set)
n8n-nodes-base.set - n8n Form Trigger
n8n-nodes-base.formTrigger - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Split Out
n8n-nodes-base.splitOut - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - HTTP Request
n8n-nodes-base.httpRequest - Aggregate
n8n-nodes-base.aggregate
From the author
Move beyond generic AI-generated content and create articles that are high-quality, factually reliable, and aligned with your unique expertise. This template orchestrates a sophisticated "research-first" content creation process. Instead of simply asking an…