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content/post/6minutes-tech-n8n.md

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---
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title: "6minutes Tech Automation Flow with N8N"
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type: "post"
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date: 2025-08-19T09:09:58+07:00
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description: "n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation, giving technical teams the flexibility of code with the speed of no-code."
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keywords: ["6minutes Tech N8n"]
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categories: ["cheatsheet", "6minutes-tech"]
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tags: []
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image: "https://gist.github.com/user-attachments/assets/20e4cc26-db55-49d8-ac5e-47bdf107bd26"
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---
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**Definition**
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> n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation, giving technical teams the flexibility of code with the speed of no-code.
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## References
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- [N8N](https://n8n.io/)

content/post/6minutes-tech-rag.md

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![Optimize Enhanced Context for LLM from Large Knowledge Base](https://gist.github.com/user-attachments/assets/b4ca75ea-7223-461f-bee7-c59038ea5f01)
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Let's dive in "implementation"
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- [x] Create your products
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- [x] Create your product knowledge base
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- [x] Create insight questions
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- [x] Build prompt and enhanced context
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- [x] Test expected outputs
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To make it simple, we're providing some simple scope below:
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I. Product includes: name, price, gender, category, short description
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II. Insight questions
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1. Q1: Do you have any options in your mind already?
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2. Q2: Are you buying this product for yourself or for someone else?
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3. Q3: Which gender are you looking for products for?
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4. Q4: What product category do you want to find?
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5. Q5: Do you have any special requests regarding color or shape?
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## References
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- https://aws.amazon.com/what-is/retrieval-augmented-generation/

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