RAG Fundamentals

Retrieval-augmented generation basics and tradeoffs.

Core idea

RAG adds relevant retrieved context before generation to improve factual grounding.

Key components

Chunking strategy
Embeddings and retrieval index
Prompt assembly and citation behavior

Practical takeaway

RAG quality is usually limited more by retrieval quality than by model size.