FabriXAI User Guide

# String to JSON Convertor

The String to JSON Convertor is an intelligent agent designed to transform unstructured text into a well-organized JSON format. By analyzing the input text, it identifies key entities, attributes, and categories, systematically categorizing them into a structured table. This tool is highly useful for data processing, where converting textual information into structured data format is vital for further analysis and applications. With its intuitive functionality, users can easily convert raw text into a comprehensive JSON representation, enhancing data usability and accessibility.

# Getting Started

To get started, make sure you have cloned the String to JSON Convertor. Follow Create from Template to clone and configure your AI agent.

# Configuration Instructions

# Knowledge

You can upload .pdf or .txt files to provide the agent with tailored context that meets your specific requirements.

# User Inputs

Field Title Description Instruction
Text to Convert The unstructured text you want to convert to JSON. No length limit; ensure clarity and relevance.

# AI Models

The default model is Llama 3.1 8B Instruct, but you can explore other supported AI models as well. If needed, refine your prompts for more tailored outputs.

TIP

For more detailed instructions on configuring an AI agent, please refer to Configure AI Agent

# Sample Inputs and Output

# Sample Inputs

  • Text to Convert: "John Doe is a software engineer with over 10 years of experience, working at Tech Innovations. He specializes in developing web applications and has expertise in JavaScript, Python, and Ruby."

# Sample Output

{
  "name": "John Doe",
  "profession": "Software Engineer",
  "experience": "Over 10 years",
  "company": "Tech Innovations",
  "specialization": ["Web Applications"],
  "expertise": ["JavaScript", "Python", "Ruby"]
}

# Tips of Effective Configuration

  • Be Clear and Concise: Ensure the text you input is clear and concise, making it easier for the agent to identify entities and attributes.
  • Use Relevant Data: Input unstructured text that pertains directly to the categories you want to extract to achieve accurate JSON output.
  • Avoid Ambiguities: Try to eliminate wordiness or vague descriptions in your text for better extraction accuracy.
  • Test with Varied Inputs: Experiment with different styles and structures of text input to see how the agent performs under various scenarios.
  • Review Output: Always review the generated JSON output to ensure accuracy and completeness, making adjustments to the input text as necessary.

Continue exploring our collection of Agent Templates to discover more AI agent ideas in action!