AI engineering
Build a production-minded RAG assistant
Go from a folder of documents to an AI assistant you can evaluate, debug and improve.
The workshop
Learn it by building it.
A full-day coding workshop for developers who want to move beyond chatbot demos. You will build a complete retrieval flow, inspect its failure modes and add the evaluation habits needed for real product work.
You leave with
A working RAG application and a practical checklist for taking it further.
What you will take away
- Chunking and retrieval choices you can explain
- Grounded answers with citations
- A small repeatable evaluation set
- Patterns for observability, safety and cost
A practical agenda
How the session flows.
Understand the system
Map the moving parts and choose a useful, testable problem.
Build the retrieval flow
Ingest, chunk, embed and retrieve from a realistic document set.
Make answers dependable
Add prompting, citations, fallbacks and structured output.
Evaluate and improve
Create a test set, diagnose failures and make evidence-led changes.
Who it is for
Backend, full-stack and AI-curious developers
The workshop is deliberately small so questions and direct feedback are part of the day.
What you need
- Comfortable building APIs in JavaScript, TypeScript, Java or Python
- A laptop with a current development environment
- An LLM API key; setup guidance is sent beforehand
Remote or in person in the Netherlands
Dates forming now
Interested in the next small group?
Register your interest and share your availability. A workshop only runs when the group is large enough to make it useful.
Register your interest