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Automated Email Classification & Response System with Groq AI and Pinecone

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Created by: Rajeet Nair || rnair1996

Rajeet Nair

Last update

Last update 13 hours ago

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📝 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.