Weaviate is an open-source, cloud-native, vector-based knowledge graph that enables developers to build and manage Machine Learning applications. If you are interested in using Weaviate on Arch Linux, this guide will take you through the installation process.
Before installing Weaviate, make sure your system meets the following prerequisites:
Before installing any new software, it is always recommended to first run an update on your system. To do this, open the terminal and execute the following command:
sudo pacman -Syu
Weaviate is written in Go. Therefore, you need to install the Go programming language before proceeding with Weaviate installation. To install Go, run the following command in your terminal:
sudo pacman -S go
Weaviate is hosted on Github, and we will use Git to clone the project’s repository. To install Git, run the following command:
sudo pacman -S git
Once Git is installed, create a new directory where you want to keep the Weaviate source code.
mkdir weaviate && cd weaviate
Next, clone the Weaviate repository using the following command:
git clone git@github.com:semi-technologies/weaviate.git
This will clone the Weaviate repository into the current directory.
Next, navigate into the cloned Weaviate repository:
cd weaviate
and build Weaviate from its source code using the following command:
make build
This will compile the Weaviate binary, which can be found in the dist directory.
Once Weaviate is built, you can start it by running the following command:
./dist/weaviate
This will start Weaviate on the local machine.
Congratulations! You have installed Weaviate on your Arch Linux system. You can now start using Weaviate to build and manage your Machine Learning applications.
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!
