The collaboration with the Gretel team explores the integration of agent-based methods, large language models (LLMs), and synthetic data to enable natural language queries for databases without SQL expertise. This approach leverages technologies like LangChain and synthetic data from Gretel to facilitate secure and efficient interactions with data warehouses. The process is demonstrated through a practical example using both real and synthetic data, highlighting the privacy benefits of synthetic data in preventing re-identification attacks. The framework supports seamless data interaction across systems, democratizing data access and fostering enhanced collaboration within organizations. By utilizing synthetic data and LLMs, companies can protect privacy while gaining actionable insights, making this approach essential for staying competitive in a data-centric environment.