Email Data Extractor

The Email Data Extractor is a specialized AI tool designed to analyze email content and extract relevant information based on specific data fields. Utilizing a structured JSON format, the agent processes email text to identify key elements like the sender’s name, subject, and contact number. In cases where a data field is not found, the extractor automatically assigns the value 'N/A'. This ensures a comprehensive output that caters to both structured and unstructured email content, making it ideal for business communication analysis and data management.

Getting Started

To get started, make sure you have cloned the Email Data Extractor. 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

Label Name	Description	Instruction
Data Fields	A list of data fields you would like to extract data from the email	Provide structured names of fields relevant to the email data
Mail Content	The content of the email to be analyzed	Submit the complete email body, ensuring it is clear and concise; consider including headers if relevant

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

• Data Fields: Subject, Sender Name, Sender Role, Company Name, Phone Number
• Mail Content: Subject: Opportunity for Strategic Partnership. Dear Jane, I hope this email finds you well. My name is John Smith, and I am the Business Development Manager at Acme Software Solutions, a leading provider of enterprise-grade software products. I'm reaching out to you because I believe there could be a great opportunity for our companies to collaborate. Acme Software has developed a suite of powerful tools that help businesses like yours optimize operations, improve productivity, and drive growth. I would welcome the chance to discuss how we may be able to work together. Please let me know if you have any availability for a call this week at 555-1234567 to explore the possibilities. Thank you for your time, and I look forward to speaking with you soon. Best regards, John Smith, Business Development Manager, Acme Software Solutions.

Sample output

{
  "Subject": "Opportunity for Strategic Partnership.",
  "Sender Name": "John Smith",
  "Sender Role": "Business Development Manager",
  "Company Name": "Acme Software Solutions",
  "Phone Number": "555-1234567"
}

Tips of Effective Configuration

• Define Clear Data Fields: Clearly outline the data fields you need to extract to ensure accurate and relevant JSON output.
• Use Concise Email Content: Keep the email content focused and straightforward; lengthy or complex emails may lead to ambiguous data extraction.
• Review Output Regularly: Test your configurations regularly to ensure the output meets your expectations and adjust as necessary.
• Adjust AI Model as Needed: If the default model doesn't suit your needs, explore alternative models for potentially better performance.
• Utilize Sample Inputs for Guidance: Refer to the sample inputs provided to structure your email content effectively for optimal extraction results.

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