AI-Powered Smart Email Auto-Responder with Custom Knowledge Base
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This n8n workflow creates an intelligent email auto-responder. It leverages AI to filter out spam, consults a dedicated knowledge base (Pinecone Vector Store) for accurate information, and drafts professional replies, significantly reducing manual email handling.
About This Workflow
Revolutionize your email management with this advanced n8n workflow. Designed to act as your virtual assistant, it autonomously processes incoming emails. After an initial AI-driven spam check (filtering out automated messages and junk), legitimate emails are directed to an AI Agent. This agent, powered by a sophisticated language model, accesses a Pinecone Vector Store – your custom knowledge base of FAQs and product information – to generate contextually relevant, polite, and professional replies, which are then sent directly via Gmail. Automate support, sales, or general inquiries effortlessly, saving valuable time and ensuring consistent communication.
Key Features
- Intelligent Spam & Automation Filtering: AI-driven detection not just for junk, but also for automated service emails (e.g., from Google, Microsoft) to ensure only genuine inquiries are processed.
- AI Agent for Smart Replies: Utilizes
gpt-4o-minito act as a polite and professional virtual assistant, generating human-like responses. - Dynamic Knowledge Base Integration: Seamlessly connects to a Pinecone Vector Store, allowing the AI to instantly retrieve accurate information from your custom FAQs, product details, or company data.
- Automated Gmail Replies: Sends personalized, context-aware replies directly from your Gmail account, ensuring prompt communication.
- Conversational Memory: Incorporates simple memory to maintain context within ongoing email threads, leading to more coherent and effective interactions.
How To Use
- Gmail Trigger & Get Message:
- Configure the
Gmail Triggernode with your Gmail account to automatically start the workflow upon receiving new emails. - Ensure the
get_messagenode is connected to fetch the full content of the triggered email using the same Gmail credentials.
- Configure the
- Spam Checker & Conditional Logic:
- Provide your OpenAI API credentials to the
Spam checkernode. This node uses AI to classify emails as "spam" (including automated service emails) or "no spam." - Connect the
Ifnode, ensuring its condition is set to only pass emails labeled "no spam" to the subsequent AI processing steps.
- Provide your OpenAI API credentials to the
- AI Agent & Language Model Setup:
- Provide your OpenAI API credentials to the
OpenAI Chat Modelnode and ensure it's correctly linked to theAI Agent. - The
Simple Memorynode is pre-configured to maintain conversational context; typically, no further setup is required unless you wish to customize the session key.
- Provide your OpenAI API credentials to the
- Knowledge Base Configuration (Pinecone & Embeddings):
- Configure the
Embeddings OpenAInode with your OpenAI credentials for generating text embeddings. - Set up the
Pinecone Vector Storenode with your Pinecone API keys, environment details, and specify the exact index name (e.g., "faqmattabott"). Crucially, ensure thetoolNameparameter is set to "FAQ" as referenced in the AI Agent's system prompt.
- Configure the
- Gmail Reply Tool:
- Connect your Gmail OAuth2 credentials to the
Gmailtool node. This node is utilized by theAI Agentto compose and send professional replies back to the original sender, intelligently leveraging the incomingmessageIdfor context.
- Connect your Gmail OAuth2 credentials to the
Apps Used
Workflow JSON
{
"id": "39092e01-a4a3-410c-9c32-2610facc5e69",
"name": "AI-Powered Smart Email Auto-Responder with Custom Knowledge Base",
"nodes": 11,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 39092e01-a4a3...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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