For more information on this topic, please refer to the section on Amazon Kendra connector for Slack in the Amazon Kendra Developer Guide. To add a data source to your Amazon Kendra index using the Slack connector, you can use an existing Amazon Kendra index, or create a new Amazon Kendra index. In the User Token Scopes section, we configure the connector-test app for the Slack workspace.Ĭonfigure the data source using the Amazon Kendra connector for Slack We use the user OAuth token in configuring the Amazon Kendra connector for Slack. The following screenshot shows the configuration details of the connector-test app OAuth tokens for the Slack workspace. The connector-test app is configured in the Slack workspace in order to create a user OAuth token to be used in configuring the Amazon Kendra connector for Slack. Regarding the secure channels, #databases has Workspace Admin and DB Solutions Architect as members, #machine-learning has Workspace Admin and ML Solutions Architect as members, and #security and #well-architected secure channels have Solutions Architect, DB Solutions Architect, ML Solutions Architect, and Workspace Admin as members. There are three public channels, #general, #random, and #test-slack-workspace, which any member can access. The workspace has five users as members: Workspace Admin, Generic User, DB Solutions Architect, ML Solutions Architect, and Solutions Architect. The following screenshot shows our example Slack workspace: Basic knowledge of AWS and working knowledge of Slack workspace administration.For more information, see Overview of access management: Permissions and policies. An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.To try out the Amazon Kendra connector for Slack using this post as a reference, you need the following: When access control or user context filtering is enabled, the search results of a query made by a user includes results only from those documents that the user is authorized to read. The connector also collects and ingests Access Control List (ACL) information for each indexed message and document. The look back parameter lets you crawl the date back a number of days since the last time you synced your data source. Based on the configuration, when the data source is synchronized, the connector either crawls and indexes all the content from the workspace that was created on or before a specific date, or can optionally be based on a look back parameter in a change log mode. In our solution, we configure a Slack workspace as a data source to an Amazon Kendra search index using the Amazon Kendra Slack connector. Slack workspaces of active organizations are dynamic, with its content and collaboration evolving continuously. This communication is in the form of messages and threads of replies, with optional document attachments. Furthermore, individuals can directly communicate with one another in one-on-one and ad hoc groups. Slack workspaces include public channels where any workspace user can participate, and private channels where only those users who are members of these channels can communicate with each other. We use an example of an illustrative Slack workspace used by members to discuss technical topics related to AWS. This post shows how to configure the Amazon Kendra Slack connector and take advantage of the service’s intelligent search capabilities. 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). Additionally, the conversational nature of Slack communication renders a traditional keyword-based approach to search ineffective. However, making this knowledge easily and securely available to users is challenging due to the fragmented structure of Slack workspaces. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done.
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