

The RAG Blueprint: Hands-On Retrieval-Augmented Generation (RAG) Lab
Most AI tutorials teach you how to call an API.
They don’t teach you how to build systems that return reliable answers from your own data.
This workshop is different.
We’ll go beyond “chat with your docs” demos and build a production-grade Retrieval-Augmented Generation (RAG) system—one you can actually debug, evaluate, and improve.
This is a hands-on, high-intensity session for developers and architects who want to understand how these systems really work.
🛠 What You’ll Learn (and Build)
We’ll break down RAG into the core components that actually matter:
End-to-End Architecture
From ingestion → chunking → retrieval → generation → evaluationSmart Chunking
Why naive chunking fails—and how to structure data for better retrievalAdvanced Retrieval Strategies
Move beyond “top-k similarity” to get relevant, grounded answersEvaluation That Isn’t Guesswork
How to measure answer quality instead of relying on vibesObservability & Debugging
How to see where your pipeline breaks—and fix itHands-On Implementation
Build a working RAG pipeline step-by-step
🎯 Who This Is For
Frustrated Builders
Your RAG app works… sometimesEngineers & Developers
You know Python/JS and LLM basics, but want real systems thinkingSolution Architects
You need to evaluate trade-offs across vector DBs, embeddings, and retrievalCareer Pivoters
Move from prompt engineering → building full AI pipelines
📦 What You’ll Walk Away With
A working RAG boilerplate you can reuse
A reference architecture you can explain and defend
A mental model for debugging poor outputs
A framework for improving answer quality and performance
Bring your laptop.
Let’s stop “chatting” with AI—and start building systems that actually work.
“Toronto Tech Week is a citywide celebration of the people building what’s next. From May 25–29, 2026, founders, investors, and builders come together for hundreds of community-led events across Toronto, connecting tens of thousands of people around Canadian tech. Torontotechweek.com”