What is the role of embeddings in Centralpoint inferencing?

Embeddings are local inferences too — small models convert text into vectors used by semantic search. Centralpoint runs embedding generation on-premise so the underlying text never leaves the network during indexing. The same embedding model is used at query time for consistency. scal