Want to build n8n RAG agent for Instagram? I got you covered!
In this no-code tutorial we will build a RAG AI agent for Instagram with smart message buffering using Manychat, n8n, Redis, OpenAI and Pinecone.
We will cover:
1. How to set up Google Cloud Console, so you clients have a very easy way to share their Knowledge Base with you.
2. How to set up Pinecone Vector Database in n8n and how it works.
3. What is RAG, its benefits over regular AI agents, and how you build one in n8n.
4. How to make it work with Manychat and smart message buffering.
Everything is explained step by step, and deployed in a way you can clone.
Enjoy the build!
Timecodes
0:00 – Intro
0:45 – RAG Agent Demo
02:49 – Project Overview
12:45 – How RAG Agent works in n8n and Manychat setup
15:20 – What is RAG
18:53 – Step 1 Building Push Data Automation
19:40 – How to set up Google Service Account in Google Cloud
31:25 – How to set up Pinecone Vector Store
36:07 – Step 2 Building RAG Agent
42:37 – Testing
44:09 – Outro
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