Special offers now — see discounted courses.
day
:
hour
:
min
:
sec
See special offers
Build with AI: Create Custom Chatbots with n8n

Build with AI: Create Custom Chatbots with n8n

1h 31mIntermediate2025-07-31

Authors

Tobias Zwingmann

Tobias Zwingmann

Course details

In this practical, scenario-driven course, AI expert Tobias Zwingmann shows you how to build an AI-powered customer support chatbot using n8n and a Large Language Model (LLM) of your choice. Step by step, design a bot that starts small—handling common FAQs with a well-crafted prompt—then level it up by connecting it to Pinecone, enabling deep searches across your documentation, policies, or product data. Learn the tools you need to know through the hands-on experience of solving a real problem. When you complete this course, you will have mastered the core concepts of building custom AI chatbots with n8n and gained insight into moving toward production-ready deployment. Whether you’re in ops, support, or product, this course gives you an edge in experimenting quickly with practical, high-impact AI workflows.

Learning objectives
Design and deploy a functional chatbot using any Large Language Model (LLM) within n8n.
Incorporate contextual knowledge (for example, FAQs or internal data) into chatbot responses through prompt engineering techniques.
Configure n8n to execute vector-based semantic search using Pinecone for large-scale knowledge access.
Integrate Pinecone with the chatbot to retrieve and serve relevant documents in response to user queries.
Evaluate and iteratively improve chatbot responses using test queries and user feedback.

Skills covered

n8nOpenAI APINatural Language Processing (NLP)OpenAIArtificial Intelligence FoundationsArtificial Intelligence (AI)One-Off

Concepts

0. Introduction

  • 01 - Building a custom chatbot
  • 02 - Here's the challenge

1. Build Your First Prompt-Based Chatbot

  • 03 - Creating the basic n8n chatbot flow
  • 04 - Two ways to give LLMs access to your data
  • 05 - Configuring the LLM and prompt
  • 06 - Customizing the memory buffer
  • 07 - Milestone - Working prompt-based support bot

2. Upgrade to a Vector Search-Powered Chatbot

  • 08 - Retrieval-augmented generation (RAG) in five minutes
  • 09 - Setting up Pinecone
  • 10 - Creating the embedding workflow in n8n
  • 11 - Creating the retrieval workflow in n8n
  • 12 - Step by step - Advanced chatbot workflow in n8n
  • 13 - Milestone - Smart chatbot powered by your own docs

3. From Prototype to Production - What s Next

  • 14 - Recap
  • 15 - Optimizing the UI
  • 16 - Working with complex documents
  • 17 - Securing and scaling your chatbot
  • 18 - Keeping your chatbot accurate over time

Conclusion

  • 19 - Next steps

Related courses

Related learn paths

About us

LyndaKade is a leading learning platform that helps people learn business, software, technology, and creative skills to achieve personal and professional goals.

Phone numberAparat ChannelTelegram SupportTelegram ChannelInstagram Page

All rights to this site belong to LyndaKade.

Terms of Service|Privacy Policy

نماد الکترونیک enamad در صورت اتصال با آی‌پی داخل کشور، نمایش داده خواهد شد.
logo-samandehi - لوگو ساماندهی
zarinpal
zibal