Build a RAG Agent in n8n | Vector DB Pinecone + WhatsApp + Gmail [2026]

In this video, I build a full AI-powered customer support agent in n8n that automatically replies to WhatsApp and Gmail messages using your own knowledge base.

This is one of the most practical AI workflows you can build for any business. No more copy-pasting the same answers. No more missed support messages.

What we build:
→ A RAG pipeline using Pinecone as the vector database
→ An ingestion workflow that pulls docs from Google Drive and loads them into Pinecone
→ An AI Agent in n8n that queries the knowledge base before every reply
→ Automatic replies via WhatsApp Business API and Gmail
→ Smart escalation to a human when the query is outside the knowledge base
→ A Google Sheets log of every escalated ticket

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🔗 Links mentioned in this video:

▶️ Full Playlist n8n for AI Automation:
https://www.youtube.com/playlist?list=PLqRHvXNgL2eVAdvvELVMwpc1WbXDiS9MZ

📋 Request a workflow - tell me what automation you want me to build:
https://forms.gle/VXVroaNuJqRJDjuA6

🖥️ Get Hostinger VPS (affiliate link - I recommend KVM 2):
https://www.hostinger.com/in?REFERRALCODE=VIRENBAID
Click on the link above and then under "Service" you'll see a "Self hosted n8n" option.

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🕐 CHAPTERS:
00:00 - Introduction
00:35 - Topic for this Video
01:28 - Sample Knowledge Base
02:15 - Why do we need a RAG Pipeline / Vector Database
02:56 - Getting Knowledge Base files from Google Drive
05:39 - Creating a Vector Database with Pinecone
07:31 - Connecting Google Drive files to Vector Database
12:22 - Testing the Vector Database Workflow
13:26 - Creating an AI Agent to access Vector Database
20:39 - Connecting the entire workflow to WhatsApp
23:34 - Connecting the entire workflow to Gmail
27:32 - Concluding

Видео Build a RAG Agent in n8n | Vector DB Pinecone + WhatsApp + Gmail [2026] канала Viren Baid