This is a server boilerplate using GraphQL and MongoDB.

Introduction

This blog will guide you through the process of setting up a server boilerplate using GraphQL and MongoDB. With support for subscriptions using GraphQL Yoga, this server structure can benefit your applications significantly.

Getting Started

To get your GraphQL MongoDB Server up and running, follow these steps:

1. Clone this repo using this link.
2. Move to the appropriate directory by executing: cd graphql-mongodb-server.
3. Run yarn or npm install to install the necessary dependencies.
4. Set up your .env file with your mongoURI.
5. Run npm start to see the example app at http://localhost:4000/playground.

Commands

• npm start – Starts the playground at http://localhost:4000/playground.

Understanding the Code

Imagine constructing a house. You need a solid foundation (MongoDB) and a clear architectural plan (GraphQL). The server boilerplate you are creating combines these two essential elements, allowing for seamless construction and interaction with the database. With every request handled by GraphQL like a blueprint guiding the construction workers, you can build application features that are more efficient and responsive.

Troubleshooting

If you encounter any issues while setting up your server, here are some troubleshooting tips:

• Make sure you have the correct versions of Node.js and npm installed.
• Double-check your .env file to ensure the mongoURI is correct.
• Verify any packages were correctly installed—re-run yarn or npm install if needed.
• If the server does not start, check the console for error messages that can point to what went wrong.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

License

This project is licensed under the MIT license. Copyright (c) 2018 Leonardo Maldonado.