Uploading documents to your AI Slackbot in real-time using S3, SQS and Pulumi on AWS

An introductory blog post outlines the process of enhancing a Slack bot to enable real-time data processing by integrating AWS services like S3, SQS, and Lambda. Initially, the bot loaded documents from an S3 bucket into a vector database on a scheduled basis, but the update allows for immediate processing by creating a bridge that uploads files from Slack to S3 using the Slack Bolt framework. The post details the steps to implement a new file upload handler and a custom Slack Block Kit modal to provide users with more interaction options with the Embedchain app's query method, offering a more dynamic user experience. Additionally, the post highlights the bot's ability to handle user commands for AI interactions, emphasizing the potential for further customization and inviting community contributions.