KNOWLEDGE, EMBEDDINGS & RAG • 144 / 397
Teach models to look up relevant information before answering.
RAG Quality
RAG quality is how well the system retrieves useful evidence and turns it into grounded answers.
Think of it like
Think of RAG Quality like a library system: instead of memorizing every book, find the right shelf and bring only the useful pages to the desk.
Real life
Search engines and recommendation systems use ideas related to RAG Quality.
SRE lens
Measure retrieval relevance separately from final model quality.
Remember thisRAG quality is how well the system retrieves useful evidence and turns it into grounded answers.