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No-Code n8n: Build Practical RAG Workflows & AI Chatbots

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About this event

What to expect

Master Retrieval-Augmented Generation (RAG) workflows and AI chatbot development without writing code in this intensive two-day workshop at Software Park Thailand. Organizational knowledge is often scattered across documents, cloud drives, and websites—making it difficult to retrieve accurate answers when needed. This hands-on course teaches you how to harness n8n to build production-ready RAG systems that ground large language models in your own data, delivering reliable, explainable responses instead of generic AI output.

What You'll Build

Over 12 hours of practical training, you'll design and deploy complete RAG pipelines from data ingestion to conversational chatbot interfaces. Day 1 covers core RAG fundamentals—understanding the embedding, retrieval, and grounded generation lifecycle—before building your first RAG prototype in n8n. You'll integrate cloud vector databases like Pinecone and connect file repositories from Google Drive, transforming static documents into dynamic knowledge bases. Day 2 advances into multi-format ingestion (PDFs with OCR, CSV, DOCX, web scraping), open-source vector database alternatives (Chroma, Qdrant), and sophisticated chunking strategies that improve answer quality. The final session focuses on chatbot UX design—source visibility, transparency, logging, and user feedback—turning demos into knowledge assistants people actually trust and use.

Who Should Attend

This workshop is designed for AI and automation engineers building RAG agents, data scientists transforming data assets into interactive systems, software developers integrating LLMs and vector databases into applications, and product owners or tech leads responsible for AI initiatives. Whether you're converting manuals, FAQs, policies, and contracts into conversational systems or reducing repetitive work by automating common questions, you'll leave with extensible RAG workflows that evolve with new data sources and models.

Course Highlights

  • Turn documents into answers: Build conversational knowledge systems from your existing content
  • Hands-on n8n workflows: Master nodes, triggers, credentials, and orchestration patterns
  • Vector database integration: Work with both cloud (Pinecone) and open-source (Chroma, Qdrant) solutions
  • Multi-format ingestion: Handle TXT, CSV, DOCX, PDFs with OCR, and web content ethically
  • Production-ready chatbots: Apply UX principles for transparency, trust, and continuous improvement

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