by Kostas Ziridis

DeepSeek R1 has made a significant impact with its impressive performance and open-source nature. Whether you’re a B2B or B2C business, adopting AI is more crucial now than ever. Are you ready? This series of guides will walk you through building a CRM and integrating DeepSeek R1—complete with practical use cases!

So here we are… Chapter 1!

Prerequisites

Before diving in, it's helpful to have some experience with:

• Analytical thinking
• Linux (we’ll be using Fedora, but any distribution will work. If you’re on Windows, good luck!)
• Basic skills in Python, JavaScript, and SQL

Note: If you plan to run DeepSeek R1 locally, consider having at least an Nvidia RTX 3070 in your machine.

Tools We Will Be Using

• Budibase for our CRM development.
• Docker for installing Budibase.
• Open Web-UI for our chat interface with DeepSeek.
• Visual Studio Code for Python and JavaScript.

Start by creating a folder for Budibase and navigating to it:

mkdir budibase
cd budibase

#If you dont have already docker installed run :
sudo dnf update
sudo dnf install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
sudo systemctl start docker
sudo systemctl enable docker

Next, according to the Budibase documentation, create a docker-compose.yaml file:

bash
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