Build a Full Stack RAG System with React, Langchain & Node.js

Learn how to build a full-stack Retrieval-Augmented Generation (RAG) system that allows users to ask questions about YouTube content and receive accurate, AI-generated answers. This comprehensive 3.5-hour tutorial walks through creating an application that can scrape video transcripts using BrightData, process them with Langchain, and connect to powerful LLMs like OpenAI and Anthropic. Master essential skills including transcript scraping, building a NodeJS/Express backend, generating embeddings with Langchain, querying AI models for context-aware answers, implementing a PostgreSQL vector database, creating a React web app for real-time video chat, and deploying the full-stack AI application using Genezio. Perfect for developers looking to combine AI capabilities with practical web application development.