Answer questions from tables embedded in documents with Amazon Q Business

Amazon Q Business has launched tabular search, a new feature that enables users to extract and query information from tables embedded in various document formats, including PDFs, Word files, CSVs, and spreadsheets.

• Supports extracting data from tables in multiple file types, including image-based tables
• Can answer specific queries about table contents without manual data extraction
• Performs aggregations on numerical data
• Requires no additional setup from administrators or end-users
• Works best with Amazon Q Business applications created on or after November 21, 2024

The feature demonstrates the ability to answer complex questions by analyzing table data across different document types, enhancing enterprise information retrieval and analysis capabilities.