Retrieval-Augmented Generation (RAG) has emerged as the industry standard for building AI systems that are both intelligent and secure—capable of delivering accurate, context-aware responses based exclusively on your organization’s private data.
In this hands-on, half-day intensive workshop, participants will learn how to design and deploy a fully functional private AI chatbot without writing a single line of code. Using n8n, a powerful workflow automation platform, you will build a production-ready RAG system that connects your business documents (PDFs, Google Docs, websites, and more) to advanced language models from providers such as Gemini/OpenAI/Open-Source.
Rather than focusing on complex programming or theoretical concepts, this course emphasizes practical implementation. You will learn how to create embeddings, configure vector databases, implement retrieval pipelines, and deploy a secure chat interface that answers questions strictly from your curated knowledge base—protecting sensitive information while increasing operational efficiency.
By the end of the session, you will have built and tested your own private AI assistant tailored to a real-world business use case, ready for deployment to your website, internal teams, or customer support channel.
Duration:
Half Day
Course Code:Â BDT 538
Learning Objectives:
After this course, you will be able to:
Business Analysts, Product Managers, Content Creators, and non-technical entrepreneurs who want to build custom AI solutions without writing code.
Basic understanding of AI concepts (LLMs) and ability to run n8n locally or via Docker. No coding experience required.
Training material provided:Â Yes (Digital format)
Hands-on Lab:Â Instructions will be provided to set up n8n and API keys.
