Build a ChatGPT Slack bot with LavinMQ

Ever needed competence from one app added into another and wished for a fast solution? Maybe this Slack-ChatGPT case can bring some inspiration. Learn how to build a responsive, scalable Slack bot using LavinMQ as the message broker.

In this guide, you’ll get walked through setting up a serverless architecture with queues that manage and route messages efficiently, making your bot fast, reliable, and production-ready.

This bot listens to messages in Slack channels, sends them to ChatGPT, and delivers intelligent, AI-generated replies in real time, all without requiring users to switch platforms. This guide also highlights the capabilities of LavinMQ and aims to spark ideas for your own use cases.

ChatGPT on Slack with LavinMQ

Why LavinMQ?

High performance message queuing
Lightweight and easy to deploy
Built for modern applications like AI bots and microservices

Check out the full guide and start building your own Slack bot today!

👉 Read the full blog post on CloudAMQP.com

Do you have a LavinMQ case study to share, or do you wish to discuss your solution with the community - Join the LavinMQ Slack channel!