Developing RAG Apps with LlamaIndex and JS
Unlock the Power of LlamaIndex and JavaScript to Build Robust RAG Applications
Created by Paulo Dichone
Explore how to build Retrieval-Augmented Generation applications using LlamaIndex and JavaScript. You will set up your environment, master core LlamaIndex features, and create advanced querying systems. By the end, you will confidently develop and deploy a full-stack chatbot powered by NextJS.
Packt | Sep 2024 | 174 min
What You Will Learn
You will start by learning the fundamentals of LlamaIndex and gradually move into practical, hands-on projects. Each step builds on the previous one, helping you apply new skills right away. The journey wraps up with a complete full-stack project that brings together everything you've learned.
Key Features
- Master data ingestion, indexing, and querying with LlamaIndex for dynamic RAG systems
- Build and customize apps that handle complex queries and integrate multiple data sources
- Develop and deploy a NextJS chatbot app connected to LlamaIndex and OpenAI
Target Audience
Perfect for developers who already know JavaScript and want to dive into RAG systems with LlamaIndex. If you have experience with Node.js and APIs and are eager to build scalable, AI-driven applications, you will find this course both practical and rewarding.
