The integration of Large Language Models (LLMs) into enterprise database environments has fundamentally altered how users interact with structured data. This paper presents an imperative analysis of Oracle’s DBMS_CLOUD_AI package within the Autonomous Transaction Processing (ATP) ecosystem, evaluating its efficacy in Natural Language to SQL (NL2SQL) translation. By leveraging metadata-augmented prompts, the architecture mitigates hallucination risks inherent in zero-shot LLM queries. Furthermore...