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Build a RAG Chatbot with n8n

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Build a RAG Chatbot with n8n

Course Code: C978
  • HRDF

9 Review(s) | Add Your Review

What's This Course About

Generic chatbots can only answer from what the AI model already knows—they fall short the moment you ask about your company’s products, policies or documents. Retrieval-Augmented Generation (RAG) fixes this by letting a chatbot search your own knowledge base and ground every answer in your actual content. In this practical 1-day Build a RAG Chatbot with n8n course, you will learn how RAG works—embeddings, vector stores and retrieval—and build your own RAG chatbot using n8n, the popular visual workflow automation platform, with no programming background required.

Through guided hands-on exercises, participants will build a complete RAG chatbot in n8n—ingesting their own documents into a vector store, wiring up an AI agent with chat memory, and tuning retrieval so the bot answers accurately from their knowledge base. You will test and refine your chatbot, then deploy it as a shareable chat interface or embed it on a website. By the end of the course, you will be able to build and deploy RAG chatbots that answer questions grounded on your organisation’s own knowledge.

Course Fee

MYR1,100.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Understanding RAG Chatbots

  • What is Retrieval-Augmented Generation (RAG) and Why Chatbots Need It
  • How RAG Works: Embeddings, Vector Stores and Retrieval
  • RAG Chatbot Use Cases: Customer Support, Internal Knowledge and FAQs
  • Introduction to n8n: Workflows, Nodes and AI Agent Components
  • Designing a RAG Chatbot: Knowledge Sources, Chunking and Prompts

Topic 2: Building a RAG Chatbot with n8n

  • Setting Up an n8n Chatbot Workflow with Chat Trigger and AI Agent
  • Ingesting Your Documents into a Vector Store
  • Connecting the AI Agent to Your Knowledge Base with Chat Memory
  • Testing and Improving Answer Accuracy of Your RAG Chatbot
  • Deploying and Embedding Your RAG Chatbot on a Website

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Chatbot Developer
  • Content Strategist
  • Customer Experience Manager
  • Digital Marketing Specialist
  • AI Solutions Architect
  • Technical Writer (for chatbot scripts)
  • Customer Support Manager
  • UX Designer
  • Product Manager
  • Digital Transformation Specialist
  • CRM Specialist
  • E-commerce Operations Manager
  • IT Project Manager
  • Business Analyst (focusing on customer engagement)
  • User Interface Designer (for chat interfaces)

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (9)

Superb training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 15/05/2024)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 06/05/2024)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 12/04/2024)
Great practical training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 02/01/2024)

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