Weaviate is an open-source, vector-based, schema-driven search engine that allows developers to build intelligent applications using natural language processing and machine learning. In this tutorial, we will guide you through the process of installing Weaviate on the latest version of Fedora CoreOS.
Before you begin, please make sure that you have the following:
Before installing new software, it is always recommended to update the system.
To update the system, open a terminal and enter the following command:
sudo dnf update
Weaviate runs inside a Docker container, so we need to install Docker first.
To install Docker, enter the following command:
sudo dnf install docker
After Docker is installed, start the Docker service and enable it to start automatically at boot time:
sudo systemctl start docker
sudo systemctl enable docker
Now that Docker is installed, we can download and run the Weaviate Docker image.
To download the latest Weaviate Docker image, run the following command:
docker pull semitechnologies/weaviate
After the download is complete, run the following command to start the Weaviate Docker container:
docker run -it --rm -p 5602:5602 -p 8080:8080 semitechnologies/weaviate
This command will start the Weaviate container and make it accessible on ports 5602 and 8080. You can access the Weaviate web interface by opening your web browser and entering http://localhost:5602.
To verify that Weaviate is installed and running correctly, open your web browser and navigate to http://localhost:5602.
You should see the Weaviate welcome page, and you can start exploring Weaviate's features.
Congratulations, you have successfully installed Weaviate on Fedora CoreOS Latest. You can now start building intelligent applications using natural language processing and machine learning capabilities of Weaviate. You may want to explore the documentation to learn more about Weaviate's features and capabilities.
Happy coding!
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