Business Analysts, Product Managers, Knowledge Managers, Content Creators, Consultants, and non-technical founders who want to leverage AI with their proprietary business data.

Participants should have a basic understanding of Large Language Models (LLMs) and have n8n (Desktop or Cloud) installed. No coding experience is required

Course Outline:

1. The RAG Blueprint for Business
   1. The “Privacy First” AI: Why RAG beats fine-tuning for data
   2. The 4-Step Flow: Input → Retrieval → Augmentation → Generation
   3. n8n Quick-Start: A tour of the AI nodes (LLMs, Memory, and Vector Stores)
   4. Demo: A 2-minute building of a basic “General AI” vs. a “Private Data AI”

2. Building the Knowledge Base: Ingestion
   1. Teaching the AI to Read: Overview of Document Loaders and Embeddings
   2. The “Chunking” Secret: Why breaking documents into pieces improves accuracy
   3. Vector Store Setup: Connecting to a no-code database
   4. Lab: Building an automated pipeline that “reads” a PDF and saves it to the “Brain”

3. Activating the Chatbot: The Retrieval Loop
   1. The AI Agent Node: Configuring the “Retriever” to talk to your database
   2. Memory & Context: Enabling the bot to remember the conversation history
   3. The “Grounded” Prompt: Writing system instructions that prevent the bot from “making things up”
   4. Lab: Linking your Chat Agent to the vector database built in Section 2

4. Activating the Chatbot: The Retrieval Loop
   1. Stress Testing: Asking “out-of-bounds” questions to ensure it stays on task
   2. Personality & Rules: Adjusting the System Prompt for specific business roles

Training material provided: Yes (Digital format)

Hands-on Lab: Students will be provided with docker compose file and n8n workflow JSON.