Generative artificial intelligence (GAI) is gaining traction in the government and public sector for its potential to enhance citizen services and employee productivity when integrated with internal data. While GAI can generate impressive results, its effectiveness is often limited by the public data it is trained on, which can lead to inaccuracies. However, by combining GAI with an organization's proprietary data, the output becomes more accurate and actionable due to the added context. The Elasticsearch platform is highlighted as a tool that can unify data storage and leverage GAI, providing secure, cost-effective, and efficient access to mission-critical information. The platform's recent introduction of the Elasticsearch Relevance Engine (ESRE) further enhances search relevance by integrating with large language models. For successful implementation, it is crucial that data is stored in a centralized, accessible platform, ensuring privacy and security while democratizing access to insights and facilitating real-time decision-making.