RAG in 60 Minutes
Build a question-answering system over your own documents. Upload, chunk, embed, search, and generate cited answers — the complete RAG pipeline.
"Ask questions about your company handbook and get cited answers"
4 Interactive Sessions
Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.
- 1
Give the AI your documents
A model doesn't know your docs — RAG retrieves the relevant chunks and hands them over, so answers are grounded and cited.
- 2
Turn chunks into searchable meaning
Each chunk becomes a point in meaning-space; a question is just another point, and retrieval grabs its nearest chunks.
- 3
Answer from the docs — grounded, no guessing
Hand the retrieved chunks to the model and tell it to answer ONLY from them — so the answer comes from your data, not the model's memory.
- 4
Make the answer trustworthy — cite, score, and run it
A grounded answer becomes trustworthy when it cites every fact, shows how confident it is, and admits when it doesn't know — then you run the whole pipeline yourself.
Production patterns you'll master
Synthetic data included
- Company handbook (PDF)
- FAQ documents (Markdown)
- Product docs (JSON)
- Policy updates (text)
- Meeting notes
What you walk away with
Shareable portfolio
A public URL showing your module timeline, patterns mastered, and completion status.
All the code
Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.
Module walkthrough
Each module documented with deliverables and the production pattern you implemented.
Ready to build your rag in 60 minutes?
First course free. $20 per course after that.