Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge easily and securely available to users is challenging due to the fragmented structure of Slack workspaces. Additionally, the conversational nature of Slack communication renders a traditional keyword-based approach to search ineffective.
You can now use the Amazon Kendra Slack connector to index Slack messages and documents, and search this content using intelligent search in Amazon Kendra, powered by machine learning (ML).
This post shows how to configure the Amazon Kendra Slack connector and take advantage of the service’s intelligent search capabilities. We use an example of an illustrative Slack workspace used by members to discuss technical topics related to AWS.

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