AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins

This article discusses enhancing Amazon Q Business with custom plugins to improve support analytics by unifying structured and unstructured data. The key focus is on transforming AWS Support data into actionable insights through advanced AI agent capabilities.

• Addresses limitations of Retrieval-Augmented Generation (RAG) for precise numerical analysis
• Introduces a solution combining semantic search with structured data querying
• Enables more accurate and detailed analysis of support cases across multiple dimensions
• Uses Amazon Bedrock and Athena to convert natural language queries into precise SQL
• Provides comprehensive insights into support case distributions, severities, and patterns

The solution demonstrates how AI agents can bridge the gap between natural language processing and structured data analysis, offering more sophisticated operational insights for AWS Support data.