How to Install Weaviate on Manjaro

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.

Prerequisites

Before we begin, ensure that your system meets the following requirements:

• A system running Manjaro Linux
• Docker Compose
• Git

Step 1: Clone the Weaviate Repository

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

Step 2: Edit the Environment Variables

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.

Step 3: Start the Weaviate Containers

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.

Step 4: Use Weaviate

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.

Conclusion

Congratulations, You have successfully installed Weaviate on Manjaro Linux. You can now use it to build contextual and personalized search applications.