Organizations are increasingly interested in developing artificial intelligence assistants that can securely manage business documents. One tool gaining attention is Amazon Q Business, which uses generative artificial intelligence to create an assistant that provides clickable URLs to documents stored in Amazon Simple Storage Service (Amazon S3).
This approach not only allows secure access to documents but also enhances the user experience and productivity in the workplace. To build this assistant, it’s crucial to set up an S3 bucket as a data source, enabling the system to respond to user requests based on the available business documents.
Authenticated users can interact with the assistant through both the web experience of Amazon Q Business and custom applications. Each response generated by the assistant includes citations and links to source documents, making it easy for users to access, view, and download information without requiring additional credentials to access the S3 bucket.
The process of building the assistant involves several steps, from uploading documents to creating indexes that facilitate content search. The system manages access permissions to ensure that only authorized users can view or download information. Additionally, the generation of signed URLs adds an extra level of security by restricting their validity to a short period, thereby minimizing the risk of unauthorized access.
This method is designed to provide a seamless user experience in corporate environments where information security is essential while maximizing the benefits derived from artificial intelligence. With this tool, organizations can comply with regulations related to the responsible use of technology.
The development of assistants using Amazon Q Business involves a series of systematic steps, including creating S3 buckets, configuring data sources, and using the application to make specific queries. This process not only optimizes access to information but also equips employees with dynamic tools to enhance their operations and decision-making, effectively integrating artificial intelligence into their workflows.
Referrer: MiMub in Spanish
