Transitioning generative foundation models into enterprise production requires robust LLMOps architecture: orchestrating continuous embedding pipelines, hybrid retrieval-augmented generation (RAG), and ultra-low-latency GPU inference serving. 1. Hybrid Retrieval-Augmented Generation (RAG) Mitigate model hallucinations by anchoring generation to authoritative vector stores. Combining dense semantic embeddings with sparse BM25 lexical search provides pinpoint factual context for complex enterprise…