Academy
Module 6

Memory is Everything

30 min

Professor Tesa — Lavender blouse, tortoiseshell glasses, cardigan — the librarian who knows where everything is

“I remember every pattern that worked and every pattern that failed. The knowledge base is my memory. RAG is how I access it.”

Video Lecture — Professor Tesa41s

Learning Objectives

  • Understand Retrieval-Augmented Generation (RAG) in the context of code generation
  • Explain how the knowledge base stores and retrieves patterns
  • Describe the feedback loop between quality gates and the knowledge base
  • Identify how RAG improves generation quality over time

RAG for Code Generation

Retrieval-Augmented Generation means: before generating code, retrieve relevant examples from a knowledge base and inject them as context.

**Without RAG:** "Build me a user authentication system" → LLM generates from its training data alone

**With RAG:** "Build me a user authentication system" → retrieve 3 successful auth implementations from our knowledge base → inject as examples → LLM generates informed by proven patterns

The result: higher quality, more consistent, fewer hallucinations.

Further Reading

RAG Routing (DF Write-Up §4) Knowledge Base (DF Write-Up §12)
The Morning AfterContinue: Module 7 — Standards Have Standards