Building and Deploying a RAG Chatbot with JavaScript, LangChain.js, Next.js, Vercel and OpenAI
via freeCodeCamp
Overview
Learn to build and deploy a Retrieval-Augmented Generation (RAG) chatbot in this comprehensive video tutorial that covers implementation using LangChain.js, Next.js, Vercel, and OpenAI. Master the fundamentals of RAG technology, vector embeddings, and database management while creating a Formula 1-themed chatbot trained on custom data. Explore essential concepts including vector embeddings, Datastax Vector Database Management System integration, and OpenAI implementation. Follow along with hands-on coding demonstrations to create a fully functional chatbot from scratch, with detailed explanations of prerequisites and step-by-step implementation guidance. Gain practical experience with modern AI development tools and frameworks while building a real-world application that can be trained on any dataset.
Syllabus
⌨️ Introduction
⌨️ What is RAG?
⌨️ Prerequisites
⌨️ Vector Embeddings
⌨️ Datastax Vector Database Management System
⌨️ OpenAI
⌨️ Let’s build a F1 RAG Chatbot!
Taught by
freeCodeCamp.org