Automated Email Classification & Response System with Groq AI and Pinecone
Last edited 58 days ago
📝 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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