A Dropbox Enterprise (not personal) account.To try out the Amazon Kendra connector for Dropbox, you need the following: Run a sample query to get the information.Index the data in the Dropbox repository.Create a Dropbox data source via the Amazon Kendra console.Store the details in AWS Secrets Manager.Configure an app on Dropbox and get the connection details.The solution consists of the following steps: For our solution, we demonstrate how to index a Dropbox repository or folder using the Amazon Kendra connector for Dropbox.

With Amazon Kendra, you can configure multiple data sources to provide a central place to search across your document repository. In addition, Amazon Kendra’s ML powered intelligent search can accurately find information from unstructured documents having natural language narrative content, for which keyword search is not very effective. In this post, we show how to index information stored in Dropbox and use the Amazon Kendra intelligent search function.

We’re excited to announce that you can now use the Amazon Kendra connector for Dropbox to search information stored in your Dropbox account. In addition to files and paper, Dropbox also allows you to store shortcuts to webpages in your folders. Dropbox Paper can optionally use templates to add structure to documents. Along with the ability to store documents, Dropbox offers Dropbox Paper, a coediting tool that lets users collaborate and create content in one place. Enterprise users use Dropbox to upload, transfer, and store documents to the cloud. An enterprise search solution should be able to pull together data across several structured and unstructured repositories to index and search on. Valuable data in organizations is stored in both structured and unstructured repositories. Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML).

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