Weaviate is an open-source, cloud-native, vector-first search engine that is developed by SeMI Technologies. Weaviate uses machine learning algorithms to provide you with intelligent search results. In this tutorial, we will show you how to install Weaviate on Fedora Server Latest.
Before you begin with the installation process, you need to fulfill the following prerequisites:
Weaviate requires the following dependencies:
You can use the dnf package manager to install these dependencies on your system. Run the following command in your terminal to install them:
sudo dnf install java git docker
To download Weaviate, run the following command:
git clone https://github.com/semi-technologies/weaviate.git
This command will download the Weaviate code from the official GitHub repository of SeMI Technologies.
Once you have downloaded Weaviate, navigate to the weaviate directory:
cd weaviate
Next, build the Weaviate Docker image by running the following command:
sudo make dock
After building the Weaviate Docker image, you can run it using the following command:
sudo docker run -it --rm -p 8080:8080 semi/weaviate:latest
This command will run the Weaviate Docker image and expose it on port 8080 of your machine.
Open a web browser and navigate to http://localhost:8080 to verify the installation of Weaviate. You should see the Weaviate web interface.
Congratulations! You have successfully installed Weaviate on your Fedora Server Latest instance. Weaviate is now ready to use, and you can start using it for intelligent search purposes.
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