🔍 Create fact-based articles from your knowledge sources with Super RAG and GPT-5

⚡ 520 views · 🔍 AI RAG & Knowledge Retrieval

Description

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 AI to write an article from scratch, it first uses an AI planner to break your topic down into logical sub-questions.

It then queries a Super assistant—which you’ve connected to your own trusted knowledge sources like Notion, Google Drive, or PDFs—to build a comprehensive research brief. Only then is this fact-checked brief handed to a powerful AI writer to compose the final article, complete with source links. This is the ultimate workflow for scaling expert-level content creation.

Who is this for?

What problem does this solve?

How it works

This workflow follows a sophisticated, multi-step process to ensure the highest quality output:

  1. Decomposition: You provide an article title and guidelines via the built-in form. An initial AI call then acts as a “planner,” breaking down the main topic into an array of 5-8 logical sub-questions.
  2. Fact-based research (RAG): The workflow loops through each of these sub-questions and queries your Super assistant. This assistant, which you have pre-configured and connected to your own knowledge sources (Notion pages, Google Drive folders, PDFs, etc.), finds the relevant information and source links for each point.
  3. Consolidation: All the retrieved question-and-answer pairs are compiled into a single, comprehensive research brief.
  4. Final article generation: This complete, fact-checked brief is handed to a final, powerful AI writer (e.g., GPT-5). Its instructions are clear: write a high-quality article using only the provided information and integrate the source links as hyperlinks where appropriate.

Implementing the template

  1. Set up your Super assistant (Prerequisite): First, go to Super, create an assistant, connect it to your knowledge sources (Notion, Drive, etc.), and copy its Assistant ID and your API Token.
  2. Configure the workflow:
    • Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes (GPT 5 mini and GPT 5 chat).
    • In the Query Super Assistant (HTTP Request) node, paste your Assistant ID in the body and add your Super API Token for authentication (we recommend using a Bearer Token credential).
  3. Activate the workflow: Toggle the workflow to “Active” and use the built-in form to generate your first fact-checked article!

Taking it further

đź”— Nodes Used

HTTP Request, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, n8n Form Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup