LLM Python tools: “An embedding model lets you take a string of text – a word, sentence, paragraph or even a whole document – and turn that into an array of floating point numbers called an embedding vector.”

Link. Proximal vectors are expected to be semantically similar. (PS. Python may finally be the “next C”.