Weaviate is an open-source and fast vector search engine that enables natural language queries. It allows developers to build contextual and personalized search applications. In this tutorial, we will guide you through the process of installing Weaviate on Manjaro.
Before we begin, ensure that your system meets the following requirements:
First, open the terminal on your Manjaro Linux system and run the following command to clone the Weaviate repository:
$ git clone https://github.com/semi-technologies/weaviate-docker-compose.git
After cloning, navigate to the cloned repository directory:
$ cd weaviate-docker-compose
To run Weaviate on Manjaro, we need to edit the .env file to change the configuration variables. Run the following command to open the .env file:
$ nano .env
In the editor, find the HOSTNAME variable, and replace localhost with your Manjaro system's IP address. You can find your IP address using the following command:
$ hostname -I
Copy the output and replace the HOSTNAME variable with it.
After editing the .env file, it's time to start the Weaviate containers. To do this, run the following command:
$ docker-compose up -d
This command starts the containers in the background. Wait until all containers are started successfully.
After starting the containers, you can now use Weaviate. Open your browser and go to the following URL:
http://<YOUR-MANJARO-IP-ADDRESS>:8080/v1/graphql
You should be able to see the Weaviate GraphQL interface.
Congratulations, You have successfully installed Weaviate on Manjaro Linux. You can now use it to build contextual and personalized search 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!
