Embeddings is the knowledge that exists in the “brain” of an LLM system. What an embedding does is simple: It gets as input a text, and it creates a vector for this text. E.g, it gets the text “Hi, my name is Fotis” and it creates a vector [0.2, 0.1, ….-0.3]. Then, it stores all these vectors in …