The LibreChat project is built around Docker making deployment a breeze in a variety of environments. In the last section, we created a DigitalOcean Droplet running Ubuntu 22.04. In this section, we will install Docker on the Droplet and deploy the LibreChat project using Docker.
So, you've decided to take the plunge and give Tailscale a try. Great choice! In this guide, we'll walk you through the process of getting Tailscale up and running on your devices. By the end of this guide, you'll be able to securely connect your devices using Tailscale and take advantage of its many features.
Introduction
Now that we've got LibreChat up and running, let's dive into the configuration and setup of the chatbot. The LibreChat developers have built a robust platform that allows for a variety of customizations and integrations. In this guide, we will walk through the steps to configure LibreChat to suit your needs. I will focus primarily on enabling the OpenAI API integration and setting up authentication for the chatbot, but a future guide will delve into more advanced configurations and integrations.
Intro
Intro
Lab Credits
COMING SOON
COMING SOON -- very soon. This guide is being ported over from my old blog and will be updated with new information.
The following guide will walk you through the process of setting up VLANs and subnetting on your network. This guide will be using a Ubiquiti Unifi network as the example, but the concepts can be applied to any network equipment.
Lab Credits
If you've spent some time with the LibreChat app, you may have noticed a few things that are ... well, not quite ... great. This is not because the devs haven't provided the right tools -- you'll see they certainly have -- but rather, the problem is our very basic
Install on Multiple Devices and OSs
Why Tailscale?