Weaviate is an open-source knowledge graph platform that helps you turn data into knowledge by using machine learning models to link, classify and search data. In this tutorial, we will cover how to install Weaviate on Void Linux.
Before installing Weaviate, you need to ensure your system meets the following requirements:
The first step is to ensure all the dependencies required by Weaviate are installed. Open a terminal and run the following command:
sudo xbps-install -S python3 python3-pip python3-dev git ssh
This will install Python3, the package installer for Python3 (pip), Python3 development headers, Git, and SSH.
Weaviate runs on Docker, so you need to install Docker on your system. Run the following command in your terminal:
sudo xbps-install -S docker
This installs the latest version of Docker. Once the installation is complete, start the Docker service:
sudo service docker start
Next, clone the Weaviate repository from GitHub:
git clone https://github.com/semi-technologies/weaviate.git
This will create a new directory called "weaviate" containing all the necessary files to run Weaviate.
Change into the weaviate directory:
cd weaviate
Next, start the build process:
sudo docker build -t weaviate .
This will take some time to complete as it downloads and installs all the necessary dependencies required to run Weaviate.
Once the build process is complete, you can start the Weaviate server:
sudo docker run -it -p 8080:8080 weaviate
This will start the Weaviate server and listen on port 8080.
You can now access the Weaviate dashboard by navigating to http://localhost:8080 in your web browser.
In this tutorial, we covered how to install Weaviate on Void Linux. We started by installing the necessary dependencies, then installed Docker, cloned the Weaviate repository, built Weaviate, and finally started Weaviate and accessed the dashboard. Weaviate is now ready to help you turn your data into knowledge.
If you want to self-host in an easy, hands free way, need an external IP address, or simply want your data in your own hands, give IPv6.rs a try!
Alternatively, for the best virtual desktop, try Shells!
