Turn your documents into intelligent AI chatbots – without writing a single line of code!
🔗 Watch the RAG Concept Explainer (Part 1): • RAG Explained in Tamil – Build Smarter AI ...
00:00 Intro
00:35 Pre-requisites
01:03 Build Step 1 - Data Processing
05:59 Test - Step 1
06:45 Build Step 2 - Chatbot
12:08 Test - Step 2
13:41 HR Policy Document
14:05 Next Steps
In this video, we’ll build a RAG (Retrieval-Augmented Generation) based chatbot using n8n, a powerful no-code automation platform.
💡 This is the 2nd video in the "RAG" playlist, where we move from theory to practical implementation. If you're an HR team, educator, or enthusiast looking to automate answers from your documents like Leave Policy or FAQs — this is for you!
👉 What you'll learn:
How to use n8n for no-code automation
How to generate embeddings
How to store vectors in Pinecone
How to connect OpenAI to generate responses
How to build your own smart HR assistant chatbot
🔔 Don’t forget to subscribe for the next videos:
RAG using Python
RAG using Agentic Frameworks
Making RAG production-ready
#RAG #n8n #NoCodeAI #Chatbot #AIChatbot #OpenAI #Pinecone #GenAI #DocumentAI