JavaScript RAG Web Apps with LlamaIndex: A Hands-On Guide to RAG Web Apps with JavaScript, LlamaIndex, and Vector Databases for Scalable AI-Powered In

By Brian Pitman

Harness the power of Retrieval-Augmented Generation (RAG) and JavaScript to build next-generation AI-powered web applications

This comprehensive, hands-on guide takes you deep into the intersection of web development and generative AI, showing you how to integrate Large Language Models (LLMs) with real-time knowledge retrieval using LlamaIndex, LangChain, and vector databases. Whether you're a JavaScript developer looking to integrate AI into web apps or an AI enthusiast eager to explore RAG-driven architectures, this book is your ultimate resource.

What You'll Learn: Master RAG principles to supercharge AI-driven search, chatbots, and dynamic knowledge applications.Use JavaScript with LlamaIndex to build scalable AI-powered applications.Integrate vector databases for fast, accurate, and real-time AI responses.Develop end-to-end LLM applications with LangChain, LangGraph, and Crewai.Leverage LLM-powered agents to automate workflows with multi-agent AI systems.Deploy and scale AI applications using serverless platforms like Vercel, Render, and Fly.io.Who This Book Is For:

Perfect for JavaScript developers, AI engineers, and data-driven web app builders, this book blends theory with practical projects, walking you through everything from prompt engineering to deploying LLM-enhanced web applications.

Why This Book?

AI-powered applications are redefining web development, and JavaScript remains the world's most-used programming language. This book bridges the gap between traditional web applications and next-gen AI, providing practical, real-world use cases that prepare you for the future of AI-driven development.

Whether you're building a chatbot, a RAG-powered search engine, or multi-agent AI systems, JavaScript RAG Web Apps with LlamaIndex gives you the technical depth and hands-on experience needed to master the next era of AI-driven web development.

• Format: Paperback
• Language: English
• ISBN: B0DW7TP6DK
• ISBN13: 9798309524143
• Release Date: February 2025
• Publisher: Independently Published
• Length: 190 Pages
• Weight: 0.75 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"