Awesome Testing
Guided course + reference

Building RAG Systems materials

Every lesson moves through a concise mechanism, experiment, written evidence brief, and checkpoint. Drafts stay in your browser and can be exported as Markdown; the complete theory chapter remains available afterward as optional reference.

Prior knowledge
Basic LLM, vector, and API concepts help. Building with LLM APIs is useful context, but no vector-database experience is required.
Study time
3–4 hours guided · about 9 hours of optional deep dives
By the end
Design, evaluate, secure, and operate a RAG evidence pipeline from governed ingestion and hybrid retrieval through grounded answers, citations, and rollback.

8

lesson experiments

8

exportable worksheets

8

reference chapters

8

knowledge checks