---
title: "Full RAG Tutorial | AI Chat with YouTube | LangChain, Node, Supabase, Postgres, pgvector, React"
source_url: https://youtu.be/JljlsOJmlCA
captured_at: 2026-03-22
author: "Tech Wizzdom"
contributor: "ชิดชนก"
platform: youtube
---
# Full RAG Tutorial | AI Chat with YouTube | LangChain, Node, Supabase, Postgres, pgvector, React

youtube video by **Tech Wizzdom**, 87m24s, uploaded 2025-03-21. URL: https://youtu.be/JljlsOJmlCA
Tags: rag, artificial intelligence, supabase, langchain, node.js, react, postgres, pgvector, retrieval augmented generation, vector database, embeddings, rag tutorial, programming tutorial

## Shared in LINE Note+
- 2026-03-22 09:35 by ชิดชนก

## Description
In this video, we'll build a RAG app for chatting with YouTube videos. You will be able to paste a YouTube URL and ask literally anything about it (and have a continuous chat).

We have 3 parts:

1. Frontend (React + Vite)
2. Backend (Supabase + PostgreSQL + pgvector)
3. RAG service (Node + Langchain)

Works pretty fast; even without further optimization we get the entire transcript, process it for AI, and store it in a vector database in ~ 5 seconds. Then, every time we ask a prompt, it takes 2-3 seconds to start streaming.

All the knowledge comes from building Second Brain. Chat with YouTube videos and way more file sources, build your virtual memory, AI chat with it, and way more. Check it out