The “Parse unstructured data” template on the UBOS low-code/no-code platform is designed to simplify the process of creating AI applications that can extract meaningful information from long-form text.

Using this template is a breeze. Simply clone the template and customize it using the UBOS low-code/no-code tools. You can specify the structure of the data you want to extract and provide some examples, and the application will automatically identify and extract relevant information from new text based on the structure you’ve defined. The integration with ChatGPT API allows you to enhance the accuracy of your application’s data extraction capabilities, making it an incredibly powerful tool for automating data extraction tasks.

To create your own AI application based on this template, simply follow these steps:

• Clone the “Parse unstructured data” template on the UBOS low-code/no-code platform.
• Customize the template to fit your specific use case by specifying the structure of the data you want to extract and providing some example text.
• Integrate the ChatGPT API to enable natural language processing and improve the accuracy of your application’s data extraction capabilities.
• Test your application to ensure that it is correctly identifying and extracting the information you need.
• Deploy your application to a production environment and start using it to automate data extraction tasks.

Once you’ve completed these steps, you can test your application to ensure that it is correctly identifying and extracting the information you need. Then, simply deploy your application to a production environment and start using it to automate data extraction tasks.