There's been a lot of updates to Solid Queue recently and with these changes came with some different approaches in how we set up the database and get visibility into the background workers.

In this episode, we will upload a CSV file but need to pass it into a background job. This can prove to be difficult based on the hosting infrastructure so we'll explore some mechanisms to work around them. We'll also look to optimize Solid Queue to handle the large number of jobs.

Building on the previous episode, we look at refactoring our background job into a more maintainable object and provide context to the LLM so that we can chain together responses for a more conversational experience.

In this episode, we look at running a self hosted Large Language Model (LLM) and consuming it with a Rails application. We will use a background to make API requests to the LLM and then stream the responses in real-time to the browser.

In this episode, we explore the practical use of Campfire Bots for webhook applications. We'll start by setting up an AI Image Generator bot that interacts with our Ruby on Rails application, and then connect it to a self-hosted Large Language Model (LLM). Our initial goal is to get the system working. After that, we'll focus on refactoring the code to improve its safety and maintainability.