No-Code N8N to build Practical RAG Workflow & AI Chatbots
- TTDT37
- Classroom
- Fundamental
- Thai | 0
Most organizational knowledge remains fragmented across documents, drives, tools, and websites, making accurate answers hard to retrieve when they matter most.
Retrieval-Augmented Generation (RAG) solves this by grounding large language models in your own data, producing reliable, explainable responses instead of generic AI output.
This 2 days, hands-on workshop teaches you how to design and build practical RAG workflows and AI chatbots using n8n—providing a repeatable blueprint for realworld knowledge systems that teams can deploy and maintain with confidence.
Course description
Time
Instructor
Venue
No-Code N8N to build Practical RAG Workflow & AI Chatbots
· Design and deploy complete RAG pipelines—from ingestion to chat-based answers—using n8n
· Integrate files, cloud storage, websites, and vector databases into production-ready RAG workflows
· Apply proven techniques for chunking, metadata design, and retrieval tuning to improve answer quality
· Build and ship usable AI chatbots and internal knowledge assistants, not just demos
· AI and automation engineers building RAG agents and chatbots with n8n
· Data scientists and analysts transforming data assets into interactive knowledge systems
· Software developers integrating LLMs, vector databases, and workflows into applications
· Product owners, tech leads, and IT architects responsible for AI initiatives
1. Turn documents into answers: Convert manuals, FAQs, policies, and contracts into conversational knowledge systems
2. Reduce repetitive work: Let RAG chatbots handle common questions while teams focus on higher-value tasks
3. Build for evolution: Create extensible RAG workflows that grow with new data sources and models
4. Strengthening AI skills: Gain hands-on experience applicable to AI engineering, data platforms, and automation roles
Day 1: Core RAG Concepts & Foundational Workflows
Session 1: From Documents to Answers – RAG Fundamentals
• RAG lifecycle: embedding, retrieval, and grounded generation
• Core architecture and the role of n8n as orchestration glue
• High-impact business use cases to frame real implementations
Session 2: Your First RAG Flow in n8n
• n8n essentials: nodes, triggers, credentials, and workflow structure
• Hands-on: Build a complete RAG prototype from user query to answer
Session 3: Cloud Vector Databases in Practice (e.g., Pinecone)
• Why vector databases matter for semantic retrieval
• Hands-on: Embed documents, store vectors, and retrieve answers via n8n
Session 4: File-Based RAG with Google Drive
• Patterns for turning document repositories into RAG knowledge bases
• Hands-on: Auto-ingest and sync files from Google Drive
Day 2: Advanced Pipelines, Open-Source Stacks & UX
Session 5: PDFs, OCR & Chunking Strategies
• Handling scanned PDFs and unstructured content
• Hands-on: OCR, clean, chunk, and re-index documents
Session 6: Open-Source Vector Databases (Chroma, Qdrant)
• Comparing features, deployment, and trade-offs
• Hands-on: Replace cloud vectors with open-source alternatives
Session 7: Multi-Format Knowledge Ingestion
• Normalizing TXT, CSV, DOCX, and mixed formats
• Hands-on: Unified ingestion with metadata preservation
Session 8: Web Content for RAG
• Scraping strategy, governance, and ethical considerations
• Hands-on: Fetch, clean, embed, and index web content
Session 9: RAG Chatbots People Actually Use
• UX principles: source visibility, transparency, and trust
• Hands-on: Build a chatbot layer with logging, feedback, and iteration
Payment can be made by:
- Cash or Credit Card or Bank Cheque payable to
สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ or National Science and Technology Development Agency
(a post-dated cheque is not accepted) on the first day of the service or within the last day of the service. - Account transfer and send the proof of the payment (the deposit slip) via email xxx@swpark.or.th
- ธนาคารกรุงเทพ สาขาอุทยานวิทยาศาสตร์
Saving Account Number: 080-0-00001-0
Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ - ธนาคารกรุงไทย สาขาตลาดไท
Saving Account Number: 152-1-32668-1
Account Name: สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ
- ธนาคารกรุงเทพ สาขาอุทยานวิทยาศาสตร์
Notes:
- Withholding tax (3%) is exempt.
- Should you need to withdraw, you must send the notice of the withdrawal in writing no later than 7 working days before the commencement date. The cancellation less than 7 days will be subject to a fine of 40% of the fee.
- Software Park Thailand reserves the rights to cancel courses due to unforeseen circumstances.
Contact Person
For more information, contact our course coordinator on:
Name: Kotchaphan Aokdeelert
Tel: +66-2583-9992 Ext. 81425
Email: ttd@swpark.or.th
You are encouraged to use the course schedule as a guide to plan your training.
The schedule is accessible at www.swpark.or.th for more information.
10,000 THB .
***สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน
สอบถามเพิ่มเติมได้ที่ 02-583-9992 ต่อ 81425
***สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน
สอบถามเพิ่มเติมได้ที่ 02-583-9992 ต่อ 81425
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