mailflow

# Mailflow
#### 🚀 **Customer Support Email Automation with AI Agents and RAG (in Go lang)**


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Note: Last stable code version is available at branch 0.9: [Click Here](https://github.com/zaynkorai/mailflow/tree/0.9)

## **Introduction**

This AI-powered solution, built with a Go-driven workflow, uses multiple AI agents to efficiently manage, categorize, and respond to customer emails. It also leverages Retrieval-Augmented Generation (RAG) technology to provide accurate answers to any business or product questions, ensuring your customers always get the precise information they need.

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<img width="1138" alt="working output" src="https://github.com/user-attachments/assets/9ba471f2-0c63-4adf-9643-2950c303d435" />


## Features

### Email Inbox Management with AI Agents

  * **Continuously monitors** the agency's Gmail inbox
  * **Categorizes emails** into '**customer complaint**,' '**product inquiry**,' '**customer feedback**,' or '**unrelated**'
  * **Automatically handles irrelevant emails** to maintain efficiency

### AI Response Generation

  * **Quickly drafts emails** for customer complaints and feedback using a customizable workflow
  * **Utilizes RAG techniques** to answer product/service-related questions accurately
  * **Creates personalized email content** tailored to each customer's needs

### **Quality Assurance with AI**

  * **Automatically checks** email quality, formatting, and relevance
  * **Ensures every response** meets high standards before reaching the client

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## **How It Works**

1.  **Email Monitoring**: The system constantly checks for new emails in the agency's Gmail inbox using the Gmail API.
2.  **Email Categorization**: AI agents sort each email into predefined categories.
3.  **Response Generation**:
      * **For complaints or feedback**: The system quickly drafts a tailored email response.
      * **For service/product questions**: The system uses RAG to retrieve accurate information from agency documents and generates