Build with AI: Create Custom Chatbots with n8n
1h 31mIntermediate2025-07-31
Authors

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.
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
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