KNOWLEDGE, EMBEDDINGS & RAG • 111 / 397
Teach models to look up relevant information before answering.
Embedding Model
An embedding model converts text or other data into vectors that capture semantic relationships.
Think of it like
Think of Embedding Model 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 Embedding Model.
SRE lens
Use one to convert runbooks and incident queries into comparable vectors.
Remember thisAn embedding model converts text or other data into vectors that capture semantic relationships.