NLP Embeddings at Scale: Retrieval, Reranking, and Production Patterns

Production NLP systems rarely use embeddings alone. The real pattern is a two-stage pipeline: fast approximate retrieval over millions of embeddings, then precise reranking of the top candidates. Understanding this architecture is what separates prototype demos from systems serving real user traffic.