I will build an n8n rag ai agent for email support


About this gig
Are you drowning in repetitive customer emails?
I will build a custom, enterprise-grade autonomous AI Agent using n8n and advanced RAG (Retrieval-Augmented Generation) architectures to handle your email customer support automation automaticallykeeping your responses 100% accurate, fast, and on-brand.
Unlike basic automation setups that rely on rigid, predictable templates, I construct intelligent cognitive workflows. By coupling an advanced AI Agent with vector databases (like Pinecone), your email automation system performs live semantic searches across your actual company policies, manuals, and FAQ sheets before writing or sending a single word.
What You Get with this Automation Engine:
Advanced RAG Email Automation: Connects your private knowledge base securely (PDFs, Docs, Sheets) so the AI never hallucinates or guesses.
Intelligent Intent Classification: Instantly filters out spam, sales pitches, or out-of-scope inquiries before processing.
Human-in-the-Loop Failsafes: Built-in error handling routes low-confidence or complex queries directly to your team.
Database Logging: Transparent auditing logs every single incoming email and AI-generated draft to Google Sheets.
Get to know Ashikur R
AI Automation Architect and AI Agent Developer
- FromBangladesh
- Member sinceJun 2025
Languages
Bengali, English
My Portfolio
FAQ
How does this email automation work?
The system hooks up directly to your inbox via n8n. When a new email arrives, an AI agent filters it, cross-references a Pinecone vector database holding your FAQs/policies, and writes a highly professional, contextual reply.
What if the AI sends a wrong answer?
Your customer support automation is built with safeguards. If the AI agent's confidence drops below a set threshold, it will never guess; instead, it safely flags the email for a human review queue.

