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Tutorial series

Understanding RAG - step by step with real data

We build a Retrieval-Augmented Generation system from scratch. Real embeddings, a real vector database, and demos you can pause and pull apart whenever you want.

8 chapters · 81 minutes · 5 Labs

Chapters

  1. 01
    The Limit
    8 minLab: Naive RAG
  2. 02
    Injecting Context
    10 minLab: Naive RAG
  3. 03
    Meaning as a Vector
    14 minLab: Embedding Explorer
  4. 04
    Chunking
    10 minLab: Chunking Workbench
  5. 05
    Vector Database
    8 min
  6. 06
    Retrieval
    14 minLab: Retrieval Compare
  7. 07
    Reality, Failures, Eval
    12 minLab: Failures & Eval
  8. 08
    What Else Is Out There
    5 min