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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Multi AI agents for customer support email automation built with Langchain & Langgraph
| Date | Stars |
|---|---|
| 2026-07-31 | 263 |
| 2026-08-01 | 263 |
| 2026-08-02 | 263 |
| 2026-08-05 | 264 |
| 2026-08-06 | 264 |
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growth rate 0.00%/day
<!-- Title: Customer Support Email Automation System | Langchain/Langgraph Integration Description: Automate customer support emails with our system built using Langchain/Langgraph. Features include email categorization, query synthesis, draft email creation, and email verification. Keywords: Customer support automation, email automation, Langchain, Langgraph, AI email agents, Gmail API, Python email automation, email categorization, email verification, AI agents, AI tools Author: kaymen99 --> # 🚀 **Customer Support Email Automation with AI Agents and RAG** ## 📩 **FULL TUTORIAL: Build AI-Powered Email Automation Using AI Agents + RAG!** 👉 [Read Now](https://dev.to/kaymen99/boost-customer-support-ai-agents-langgraph-and-rag-for-email-automation-21hj) 🎯  ## **Introduction** In today's **fast-paced environment**, customers demand **quick, accurate, and personalized responses**—expectations that can overwhelm traditional support teams. Managing large volumes of emails, categorizing them, crafting appropriate replies, and ensuring quality consumes **significant time and resources**, often leading to **delays or errors**, which can harm customer satisfaction. **Customer Support Email Automation** is an **AI solution** designed to enhance **customer communication** for businesses. Leveraging a **Langgraph-driven workflow**, multiple **AI agents** collaborate to efficiently manage, categorize, and respond to customer emails. The system also implements **RAG (Retrieval-Augmented Generation)** technology to deliver **accurate responses** to any business or product-related questions. ## **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 **Langgraph** - 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 ## **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 a response. 4. **Quality Assurance**: Each draft email undergoes **AI quality and formatting checks**. 5. **Sending**: **Approved emails** are sent to the client **promptly**, ensuring **timely communication**. ## System Flowchart This is the detailed flow of the system: [![](https://mermaid.ink/img/pako:eNqllEuP2jAQx7-KZa6AgAB5HFrxFlJBXbarIsIeTDwBi2CntrPAEr57TRIoW_Wwojk585_fvJLxCQeCAvZwGIl9sCFSox_9JUfm6fgTwZkWEo0mnfE3NOYrcXgtNFSpfEHd01jlZjTYxfr49Zyr3YuaTgWawt4ohEUqRQt_wCn6LkUASr3eOw5FYpQXTrjagwR6Q3p-j2hYC8neITcWXC_jXriEyDjQFHXv7b1EabEDiXpiF0eEcY1ME0MAuiLBNkV9_6dk2uidNXD9IaQpjyaBRgP-K2HymKKB_3zkegPqUsJTApKBQqEJN-uMCnKQzWLuj0CjTtYCCqXY3XnMM49_pu1n0tA3iUU4A0L_0odZWZ04luINUjTyn4HTD7PIPaamO4Vm8MYUE9z0mIujQjzonMkmlUtKHyMwHzJkUeSVQjcsKy3FFryS4zjFubJnVG-8RnwoByIS0ivVarV7vFvgq9Uf3LKsz-K9a_bV6hG8f80ePoQP_i_78DY69xF8VOBu-BA-v2Z_DF8UOKX08zguY7NW5j-i5sI4XcItsdmNHSyxZ46UyO0SL_nZ-JFEC7M5Afa0TKCMpUjWG-yFJFLmLYmp2ds-I2tJdjdrTDj2TviAvUbLrjYtt2G1XLdVr7
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7d1d5f8cea3f78ca, topic:ai-agents, topic:langgraph, desc:ai agents