Reserve Artificial Intelligence Navigator chatbot

With nearly 60,000 reservists and a mission to “provide strategic depth and deliver operational capabilities” in times of peace and war, the United States Navy Reserve manages a vast range of missions critical to the success and safety of the nation. Continuous training is a core part of readiness, and with so many people and responsibilities involved, the Navy Reserve manages significant volumes of information — policies, guidelines, procedures and other instructional documents.

Traditionally, many questions required support calls to command. The Navy Reserve needed a tool that would enable reservists to get answers quickly and without involving additional human resources. The solution: the Reserve Artificial Intelligence Navigator (RAIN), a mobile Q&A chatbot.

Built in collaboration with CACI and AWS, RAIN was developed in only four months, thanks in large part to the existence of QnABot on AWS, a ready-to-deploy generative AI chatbot that can integrate with Amazon Kendra, an intelligent enterprise search service. With QnABot as a starting point, CACI implemented RAIN in AWS GovCloud using Amazon SageMaker to streamline LLM development.

Now, thousands of reservists every day use RAIN to get instant access to answers that previously would have required combing through documents or making phone calls. The Navy Reserve also has plans to expand RAIN’s capabilities, for example using it to generate documents from bullet points, or upgrading it to process controlled unclassified information. Ultimately, four months of development time have resulted in a robust, efficient tool that may only be the starting point for achieving faster outcomes and mission success.

 Visit the Efficiency Drivers hub to learn more about the key projects changing government.

Learn more about how AWS supports innovation across federal agencies.