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Developing RAG Apps with LlamaIndex and JS
Developing RAG Apps with LlamaIndex and JS

Developing RAG Apps with LlamaIndex and JS: Unlock the Power of LlamaIndex and JavaScript to Build Robust RAG Applications

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Profile Icon Paulo Dichone
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€8.99 €67.99
Video Sep 2024 2hrs 54mins 1st Edition
Video
€8.99 €67.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Paulo Dichone
Arrow right icon
€8.99 €67.99
Video Sep 2024 2hrs 54mins 1st Edition
Video
€8.99 €67.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€8.99 €67.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Learn data ingestion, indexing, and querying with LlamaIndex to create dynamic RAG systems.
  • Create and customize RAG apps, from basic setups to complex queries with multiple data sources.
  • Develop and deploy a NextJS web application chatbot integrated with LlamaIndex and OpenAI.

Description

In this course, you will explore the development of Retrieval-Augmented Generation (RAG) applications using LlamaIndex and JavaScript. You'll start with an introduction to the course structure, prerequisites, and project goals. Initial sections focus on setting up the development environment, including configuring Node.js and obtaining OpenAI API keys to facilitate seamless interaction with LlamaIndex. Next, you’ll delve into LlamaIndex fundamentals, covering data ingestion, indexing, and querying. Through hands-on sessions, you'll build basic and custom RAG systems, query structured data, and interact with LlamaIndex using an Express API. These practical exercises will equip you with the skills to handle complex scenarios, such as querying PDF files and integrating multiple data sources. The final sections focus on advanced topics, including managing data persistence and deploying production-ready applications. You’ll learn to create a full-stack chatbot app with NextJS, utilizing the create-llama CLI for rapid setup and customization. By course end, you'll be able to build, customize, and deploy scalable RAG applications with confidence.

Who is this book for?

This course is designed for developers with a solid foundation in JavaScript who want to explore RAG systems using LlamaIndex. Prior experience with Node.js and familiarity with APIs are recommended. If you're interested in building scalable, AI-powered applications, this course is for you.

What you will learn

  • Create RAG systems with LlamaIndex and JavaScript.
  • Set up and configure a full development environment for RAG apps.
  • Implement data ingestion and indexing techniques using LlamaIndex.
  • Build complex LlamaIndex queries with custom data loaders and engines.
  • Develop a full-stack chatbot with NextJS, LlamaIndex, and OpenAI.
  • Deploy scalable RAG systems with persistent data for production use.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 27, 2024
Length: 2hrs 54mins
Edition : 1st
Language : English
ISBN-13 : 9781836646112
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Product Details

Publication date : Sep 27, 2024
Length: 2hrs 54mins
Edition : 1st
Language : English
ISBN-13 : 9781836646112
Category :
Concepts :
Tools :

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Table of Contents

8 Chapters
Introduction Chevron down icon Chevron up icon
Development Environment Setup Chevron down icon Chevron up icon
LlamaIndex Deep Dive – Fundamentals Chevron down icon Chevron up icon
LlamaIndex Deep Dive - Main Concepts and Data Loaders Chevron down icon Chevron up icon
Agents & Advanced Queries with LlamaIndex Chevron down icon Chevron up icon
Persist Your Data & Production-ready Techniques Chevron down icon Chevron up icon
NextJS Full-stack Web Application Chatbot with One Command & Deployment Chevron down icon Chevron up icon
Wrap up Chevron down icon Chevron up icon
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