Learning roadmap· 100% match

RAG: Answers grounded in your own docs

The technique that turns "AI hallucinates about my docs" into "AI knows my docs cold".

6 stages~12 h
That leaves 6 stages, ~12 hours of focused work. You can clear it in any order, but the stages compound — try them top-to-bottom your first time.
  1. Concepts
    embeddingvector-spacecosine-similaritydimensionality
    Lab task

    A page that embeds 20 sentences and lets you find the nearest neighbours of any one.

    Checkpoint

    You can predict which 2 of 5 sentences will be closest in embedding space.

What you'll be able to do
  • Stand up a working RAG pipeline against your own data.
  • Diagnose retrieval misses by chunk vs embedding vs query.
  • Know when hybrid search beats pure dense retrieval.