Advanced data querying using ChatGPT

In the era of AI and serverless backend development, extracting and manipulating data has reached a zenith.

The union of ChatGPT, a widely recognized conversational AI, and Back4App, a notable backend-as-a-service platform, epitomizes this progress.

In this article, we delve into how ChatGPT’s plugin for Back4App empowers developers to effortlessly fetch and interpret data.

Overview about ChatGPT

ChatGPT, designed by OpenAI, is a state-of-the-art conversational model. Its claim to fame is its ability to generate human-like text based on the prompts it receives.

By modeling vast quantities of data, ChatGPT offers both coherence and context, making it a top choice for developers seeking natural language processing capabilities.

Overview about Back4App

Back4App provides developers with a scalable and extensible backend without the fuss of server management.

By abstracting many of the challenges of backend development, it allows for rapid application development. Crucially, it offers an intuitive interface to manage data classes and their respective records.

How to consume data using ChatGPT plugin?

Please watch this video to learn more how to use ChatGPT to consume data.

Alex, the architect from Back4App, recently showcased the potent synergy between ChatGPT and Back4App. Here’s a step-by-step rundown:

• Data Setup in Back4App: Begin by creating an app on Back4App. For instance, Alex crafted an “S P 500” app with a class named “stock” containing 500 ticker companies and their respective prices.

• Prompting ChatGPT: Navigate to ChatGPT and formulate your query. For example:
  • “From my S P 500 app in Back4App, list the price for the Amazon company.” The response might be: “Amazon stock with the ticker AMZN costs 133 dollars.”
  • More complex queries, such as retrieving companies with specific ticker initials or within a certain price range, are also feasible. Alex’s query of “List me 10 companies that have a ticker starting with ‘A'” and “List me 10 companies that have the price under 10 dollars” exemplifies this versatility.

• Cross Data Querying: One of the pivotal features is the capability to cross-query among various data classes. This is instrumental for intricate report generation, especially when data is spread across multiple classes.

Conclusion

Harnessing the prowess of ChatGPT in conjunction with Back4App can revolutionize how developers interact with and extract data.

The synergy not only eliminates the need for traditional querying but also augments the data-fetching process with the finesse of natural language processing.

In an era defined by the merger of AI and traditional software solutions, this combination is an exemplar of the future of data management and reporting.

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