Evaluate and improve performance of Amazon Bedrock Knowledge Bases | Amazon Web Services
Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and
Introducing AWS MCP Servers for code assistants (Part 1) | Amazon Web Services
We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol
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Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows | Amazon Web Services
As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a
Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight | Amazon Web Services
Asure, a company of over 600 employees, is a leading provider of cloud-based workforce management solutions designed to help small and midsized businesses streamline payroll and human resources (HR) operations and ensure compliance. Their offerings
Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights | Amazon Web Services
Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI Report identifies data management as
