AI email classification and RAG-powered responses for H

This automation processes incoming emails using AI: classifies messages, generates accurate responses based on documentation, and routes inquiries to the right departments. Ideal for companies receiving high volumes of emails from customers, applicants, or partners.

## Who it´s for
- Companies handling large volumes of incoming emails
- HR teams automating initial candidate screening
- Support teams needing fast ticket categorization
- Businesses using internal documents for automated replies
- SaaS companies managing customer feedback

## What the automation does
- Fetches emails via IMAP and classifies them using JavaScript rules and AI (Groq)
- Uses an LLM to analyze subject and body when category is unclear
- Generates responses to customer inquiries using RAG with Pinecone and Cohere embeddings
- Evaluates job applications and sends automated status updates
- Routes emails to relevant departments (support, billing, HR)
- Processes and stores content from business PDFs in a vector database

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on IMAP and HTTP API
- Integrations with Email (IMAP/SMTP), Pinecone, Cohere, Dropbox, and X (Twitter)
- Basic text guide for setup and adaptation

## Requirements for setup
- Email account with IMAP/SMTP enabled
- Active accounts in Pinecone, Cohere, and Groq
- Cloud storage (Dropbox) for uploading business PDFs
- n8n instance with workflow deployment access

## Benefits and outcomes
- Reduced workload for support and HR teams
- Faster response to complaints and customer requests
- High response accuracy via RAG using up-to-date documentation
- Automatic ingestion of new business knowledge from PDFs
- Accelerated initial candidate screening
- Centralized routing system for all incoming communications

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.