This thesis addresses contemporary challenges in managing extensive datasets, with a specific focus on the transition from traditional relational databases to non-relational databases (NoSQL). The focus is on enhancing the accessibility of NoSQL databases for non-expert users through natural language queries. Recognizing the prevalence of non-relational databases across industries and the imperative for effective natural language interfaces, the primary contributions of this research include the introduction of a syn- thetic dataset creation method and the utilization of Large Language Models (LLMs) for natural language to NoSQL translation. This decision stems from the recognition of the absence of an existing dataset tailored to the specific requirements of the research.