Amazon Kendra is an intelligent search service powered by machine learning (ML). Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization.
Amazon Kendra users can now quickly find the information they need from tables on a webpage (HTML tables) using Amazon Kendra tabular search. Tables contains useful information in structured format so it can be easily interpreted by making visual associations between row and column headers. With Amazon Kendra tabular search, you can now get specific information from the cell or certain rows and columns relevant to your query, as well as preview of the table.
In this post, we provide an example of how to use Amazon Kendra tabular search.
Tabular search in Amazon Kendra
Let’s say you have a webpage in HTML

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