Templates / Automated email classification & response system with Groq AI and Pinecone

Automated email classification & response system with Groq AI and Pinecone

Ready for 3.0

by ResilNext ✓ · 1,153 views · created 2025-07-20 · Ticket Management, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

Nodes used (16)

Basic LLM ChainGroq Chat ModelX (Formerly Twitter)Pinecone Vector StoreEmbeddings CohereDefault Data LoaderRecursive Character Text SplitterAI AgentSentiment Analysis

What it does

📝 Description This workflow helps automatically classify incoming emails using a combination of conditional logic and minimal AI-based classification. The system checks email content, performs sentiment analysis, uses OpenAI for categorization, and routes emails accordingly — with smart but efficient use of LLMs and AI Agents. ⚙️ How it works Trigger: An IMAP Email Trigger initiates the workflow upon receiving a new email. Code Block: Parses essential data from the email. Switch Node: Routes emails based on classification. LLM Chain: Processes specific email cases (e.g., inquiries or complaints). AI Agent (Minimal): Used only when other methods cannot determine intent. Email Responses: Sends tailored replies or routes to support/sales teams accordingly. Sentiment Analysis: Assists with tone evaluation for better response routing. 🧩 Set up steps Estimated setup time: 10–15 minutes You’ll need: An IMAP-compatible email account OpenAI or any compatible LLM provider Pinecone (optional, for vector memory) SMTP credentials for sending email Replace placeholder credentials in sticky notes before running.

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