Workshop: The AI Knowledge Flow

Most people think you need complex data science skills to teach AI about your business. But connecting modern AI directly and securely to your documents and data can actually be quite straightforward – if you know how.

In this workshop, you'll discover exactly how Retrieval-Augmented Generation (RAG) works, and how to securely let your AI access your own data in real-time. We’ll build a practical, ready-to-use example: a customer-support chatbot that answers common questions from your documents.

No coding experience? No worries. You'll leave with a clear understanding of the entire process, a reusable blueprint to launch your own AI chatbot immediately, and answers to your specific questions – all using simple, user-friendly tools.

Ready to give AI the knowledge it needs to actually help your business?

Join me for this hands-on workshop!

Agenda:

1️⃣ Understanding RAG for augmenting AI knowledge (20 min)
💡 How to securely connect LLMs to your documents or knowledge base
💡 Allowing AI to access real-time information
💡 RAG vs. long context windows

2️⃣ The Knowledge Flow in Action (45 min.)
🛠️ Scenario: Build a Q&A Customer Support Chatbot
🛠️ Deep dive into knowledge ingestion phase
🛠️ Deep dive into information retrieval phase

3️⃣ Q&A (15 min.)
💬 Ask your questions live in the session

Requirements / tools used:
- n8n (free trial available)
- Free Pinecone account
- OpenAI API keys will be provided

Date & time
🗓️ Apr 8, 16:00 CET (Join live)
🎥 Recording included (Lifetime access)

RSVP here: