A serverless application is a type of application that relies on third-party services, or on a serverless computing platform, to manage the infrastructure and backend logic needed to power the application. This allows developers to build and deploy applications without having to worry about the underlying infrastructure and makes it easy to scale the application as needed.

One way to build a serverless application is to use GraphQL, a query language for your API. With GraphQL, you can define a set of queries and mutations (operations that update data) that your application can use to retrieve and modify data stored in the serverless platform. This allows your application to interact with the data in a flexible and efficient way and makes it easy to add new data sources or modify the structure of your data without having to update the client application.

To build a serverless application using GraphQL, you will need to choose a serverless computing platform that supports GraphQL, such as AWS Lambda or Google Cloud Functions. You will also need to design your GraphQL schema, which defines the types of data your application can retrieve and modify, and the queries and mutations that can be used to interact with that data.

Once you have designed your GraphQL schema, you can use a library like Apollo Server to implement the server-side logic for your application. Apollo Server provides tools for executing GraphQL queries and mutations and can be integrated with a variety of serverless computing platforms.

Finally, you will need to build a client application that can send GraphQL queries and mutations to your serverless application. This can be done using a GraphQL client library like Apollo Client, which makes it easy to send GraphQL requests and handle the responses in your client-side code.

Overall, building a serverless application using GraphQL can be a powerful way to build scalable, flexible applications that can be easily modified and extended as needed.