Building Nexus: An Enterprise-Grade RAG & LLMOps Engine from Scratch

Building a basic Retrieval-Augmented Generation (RAG) prototype is a weekend project. You pip install an orchestration library, load a small text file, and throw raw strings at the OpenAI API. But taking that prototype into production is an entirely different engineering challenge. In a real-world enterprise environment, native LLM implementations quickly break down due to three severe operational bugs: Unpredictable API token burn High inference latency The business risk of silent hallucina...