Lesson
RAG systems connect models to external knowledge. The model answers with help from retrieved source material instead of relying only on pretraining.
The best RAG systems are product systems, not just vector searches. They include ingestion quality, metadata, ranking, synthesis, and evaluation.
Objectives
Describe the RAG pipeline.
Choose chunking and metadata fields.
Define citation quality checks.
Practice
Draw an end-to-end RAG flow.
Pick metadata for a documentation corpus.
Write a citation quality rubric.
Next action
Create a RAG architecture sketch for one knowledge base.