Unveiling a game-changing integration, users can now harness the power of generative AI within their Slack workspace via Amazon Bedrock. This rich, new AI experience offers nimble brainstorming sessions, real-time ideation, and document or code snippet drafting. By eliminating distracting context switches, this integration streamlines workflow and powers team collaboration, making it ideal for managing a dynamic team, working on intricate projects, or enhancing your Slack experience.
Amazon Bedrock provides users a choice of top-performing foundation models (FMs) from AI giants like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. This is facilitated via a single API, along with an extensive range of features to create secure, private, and responsible generative AI applications.
Setting up a Slack integration for Amazon Bedrock involves creating a Slack application, configuring necessary permissions, and deploying required resources using AWS CloudFormation. Users interact with the Slack application, which sends the event to the Amazon API Gateway. The Gateway then forwards the event to an AWS Lambda function that invokes Amazon Bedrock with the request, responding to the user in Slack.
To get started, users will need an AWS account, a functioning Amazon Bedrock account with model access, and Slack account access to create and publish apps. A security measure ensures that after an app is created, it’s permissions can be configured correctly.
To launch the CloudFormation stack, users name their stack and enter the bot token copy from earlier steps. This ‘Stack’ is then deployed with a unique ‘SlackBotEndpointOutput’ value, which is then saved for future use.
After this, the integration between Slack and Amazon Bedrock is established via several steps completed on the Slack app details page. Users can then test the new bot by initiating an interaction with the Amazon Bedrock bot within a newly created group.
In this blog, the authors have demonstrated the ease of integrating Amazon Bedrock with Slack. With this integration, users can exploit the full potential of generative AI, whether for content generation, data analysis or idea exploration – all without leaving the Slack environment.
For further benefits, users can adopt a Slack gateway for Amazon Q Business, a generative AI assistant designed to empower employees based on enterprise system knowledge and data.
Authors of this blog include Rushabh Lokhande (Senior Data & ML Engineer with AWS Professional Services Analytics Practice), Andrew Ang (Senior ML Engineer with the AWS Generative AI Innovation Center), and John Losito (Associate Cloud Infrastructure Architect with AWS Professional Services).
