JavaScript RAG Web Apps with LlamaIndex

Get started building full-stack RAG web applications. This course introduces the basics of Retrieval Augment Generation (RAG), including its practical implementation with JavaScript. You’ll assemble an intelligent agent capable of running its own queries. This course will guide you through the process of building a full-stack JavaScript web application, from the API server to a React component that queries your data. You’ll also learn to develop persistent chat that streams your answers to an interactive front-end in real time. Learn from Laurie Voss, VP of developer relations at LlamaIndex, web developer and the co-founder of npm, the central registry of JavaScript packages. In this course: 1. Learn to build a RAG application in JavaScript for querying your own data. 2. Develop tools to interact with multiple data sources using a router query engine that intelligently selects the right tool for your queries. 3. Build a full-stack web application step by step, starting with a backend web app and progressing to an interactive React frontend that calls your API to display query results. 4. Learn about production-ready techniques, including persisting your data, chatting with your data, and streaming responses for multiple queries. 5. Create a user-friendly web app that can chat with data using the create-llama command line tool from LlamaIndex. Start building RAG web applications in JavaScript that allow you to interact with your data using LlamaIndex.