KNOWLEDGE, EMBEDDINGS & RAG • 143 / 397
Teach models to look up relevant information before answering.
RAG Pipeline
A RAG pipeline combines ingestion, query processing, retrieval, context construction and model generation.
Think of it like
Think of RAG Pipeline 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 Pipeline.
SRE lens
Each stage has its own latency, failure modes and observability needs.
Remember thisA RAG pipeline combines ingestion, query processing, retrieval, context construction and model generation.