Build RAG Applications with LlamaIndex and JavaScript [NEW]

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

2:54:55

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1. Introduction

1. Introduction.mp4

01:03

2. Course Prerequisites & Who is This Course For.mp4

01:20

3. Course Structure.mp4

01:19

4. PLEASE WATCH - What Youll Build in This Course.mp4

06:18

2. Course Source code

1. Download source code.html

3. Development Environment Setup

1. Setup Dev. Environment - NodeJS Instructions.mp4

02:31

2. Setup OpenAI Account and the OpenAI API Key.mp4

06:15

4. LlamaIndex Deep Dive - Fundamentals

1. Deep Dive into LlamaIndex and Key Features - Overview.mp4

04:30

2. RAG Crash Course.mp4

06:20

3. LlamaIndex Flow - Overview.mp4

02:41

4. LlamaIndex - Data Ingestion, Indexing and Query Interface Overview.mp4

03:37

5. Hands-on - Setup LlamaIndex Simple RAG System.mp4

12:19

6. Summary.mp4

01:13

5. Check in

1. Quick Check in.mp4

00:56

6. LlamaIndex Deep Dive - Main Concepts and Data Loaders

1. LlamaIndex Core Concepts - Loaders Index.mp4

03:52

2. The Querying Stage - Overview.mp4

02:16

3. Querying Stage - ChatEngine & Querying Engine Full Overview.mp4

04:47

4. Hands-on Crate a Custom RAG System with LlamaIndex.mp4

15:07

5. Hands-on Structured Data Extraction.mp4

06:47

6. Hands-on Querying a PDF File.mp4

05:55

7. Hands-on Interacting with a RAG System Through a Express API - Full Hands-on.mp4

14:28

8. Summary.mp4

02:32

7. Agents & Advanced Queries with LlamaIndex

1. Agents and Advanced Queries - The RouterQueryEngine Overview.mp4

06:47

2. Hands-on - RAG System with Multiple Data Sources.mp4

05:44

3. Hands-on - Creating a RouterQueryEngine to Handle Multiple Query Engines.mp4

04:58

4. Hands-on Defining Functions and Querying Tools to Start Chatting with the Agent.mp4

10:30

8. Persist Your Data & Production-ready Techniques

1. Production-ready Techniques - Introduction.mp4

01:04

2. Hands-on Data with LlamaIndex.mp4

05:18

3. Hands-on Load Index with the Persisted Data and Stream Response.mp4

05:53

4. Summary.mp4

02:25

9. NextJS Full-stack Web Application Chatbot with One Command & Deployment

1. Chatbot App with NextJS - Full-stack Web App - Overview.mp4

00:57

2. Hands-on Generating a Full-stack Web App with create-llama CLI Command.mp4

08:07

3. Hands-on Customizing the App with Your Own Data and Chatting with It.mp4

07:12

4. Hands-on Deploying our NextJS Full-stack Chat App to Vercel.mp4

06:38

10. Wrap up

1. Wrap up and Next Steps.mp4

03:16

Description

Build, Optimize, and Deploy Custom Data Engines Using LLMs, Advanced Selection Techniques, and RAG in JavaScript

What You'll Learn?

Master the Fundamentals of LlamaIndex: Students will master the core concepts of LlamaIndex, including its key components such as RouterQueryEngine
Design and Implement Custom Query Engines: You will design and implement custom query engines using LlamaIndex.
Create and Integrate Modular Tools: Students will create and integrate modular tools within LlamaIndex.
Develop Agents and Tools that can Intelligently do Tasks Autonomously
Build a Full-stack Web Chat App with one Single CLI Command

Who is this for?

Software Developers and Engineers: Professionals looking to expand their skills in building custom, modular systems for data querying and retrieval will find this course invaluable. Whether you are working in backend development, data engineering, or full-stack roles, this course will equip you with the tools and knowledge to implement efficient and scalable query engines.

Data Scientists and Analysts: If you are involved in data processing, analysis, or machine learning, this course will help you understand how to effectively index, query, and retrieve data using LlamaIndex. You will learn how to leverage LLMs and advanced selection mechanisms to optimize your data workflows.

AI and ML Practitioners: This course is ideal for those who are interested in exploring the practical applications of Large Language Models (LLMs) in real-world scenarios. You will gain insights into how to integrate LLMs into your data querying systems and enhance your AI/ML projects.

Tech Enthusiasts and Learners: If you have a passion for technology and are eager to learn about cutting-edge tools for data processing and AI, this course will provide a solid foundation. Even if you are new to the field, the course is designed to be accessible, with clear explanations and hands-on exercises.

What You Need to Know?

Basic Understanding of Programming: Learners should have a foundational knowledge of programming concepts, including variables, functions, and control structures.

Interest in Machine Learning or Data Processing: While prior experience in machine learning or data processing is not required, an interest in these areas will enhance the learning experience, as the course delves into LLMs (Large Language Models) and their applications.

More details

Description
Unlock the power of Retrieval-Augmented Generation (RAG) and elevate your data-driven applications to the next level with this hands-on course on building RAG applications using JavaScript and LlamaIndex.
Whether you're a developer, data scientist, or AI enthusiast, this course will equip you with the skills to design, implement, and optimize advanced query engines that seamlessly integrate Large Language Models (LLMs) into your JavaScript applications.
In this course, you'll dive deep into the world of LlamaIndex, a powerful framework for creating custom, modular data engines. You'll learn how to leverage RAG techniques to build applications that retrieve and process data efficiently and generate contextually relevant responses. With a focus on real-world applications, this course will guide you through the entire process, from setting up your development environment to deploying your RAG-powered applications.
What Youâ€™ll Learn:
Master the Fundamentals of RAG: Understand the core principles of Retrieval-Augmented Generation and how it enhances data retrieval and generation in modern applications.
Build Custom Query Engines: Learn to design and implement custom query engines using LlamaIndex, integrating various indexing strategies and optimizing them for specific use cases.
Hands-on JavaScript Integration: Gain practical experience in using JavaScript to build and deploy RAG applications, bridging the gap between theory and real-world application development.
Utilize LLMs and Advanced Selection Techniques: Explore integrating LLMs with advanced selection mechanisms to intelligently route queries and generate precise, context-aware responses.
Deploy Scalable Data Engines: Learn how to deploy your RAG-powered applications, ensuring they are optimized for performance and scalability in real-world scenarios.
Why This Course?
This course is not just about learning concepts; it's about applying them. Through a series of hands-on projects, you'll build fully functional RAG applications that you can use in your projects or showcase in your portfolio.
Whether you're looking to enhance your current skill set or explore new possibilities in AI-driven development, this course offers the practical experience and knowledge you need to succeed.

Join me in this journey to master RAG with JavaScript and LlamaIndex and start building smarter, more responsive applications today!
Who this course is for:
Software Developers and Engineers: Professionals looking to expand their skills in building custom, modular systems for data querying and retrieval will find this course invaluable. Whether you are working in backend development, data engineering, or full-stack roles, this course will equip you with the tools and knowledge to implement efficient and scalable query engines.
Data Scientists and Analysts: If you are involved in data processing, analysis, or machine learning, this course will help you understand how to effectively index, query, and retrieve data using LlamaIndex. You will learn how to leverage LLMs and advanced selection mechanisms to optimize your data workflows.
AI and ML Practitioners: This course is ideal for those who are interested in exploring the practical applications of Large Language Models (LLMs) in real-world scenarios. You will gain insights into how to integrate LLMs into your data querying systems and enhance your AI/ML projects.
Tech Enthusiasts and Learners: If you have a passion for technology and are eager to learn about cutting-edge tools for data processing and AI, this course will provide a solid foundation. Even if you are new to the field, the course is designed to be accessible, with clear explanations and hands-on exercises.

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Instructor's Courses

Hi, I'm Paulo. I am passionate about teaching people Android, Java, and Flutter development. I have taught over 200,000 students in 175 countries worldwide. I have extensive experience in Mobile App Development (Android and iOS) Web Development, and AWS Cloud.My goal is to make you a great developer and AWS cloud Practitioner no matter your experience. In addition, I enjoy spending time with my growing family, playing the guitar mandolin, and traveling in my spare time. I look forward to helping you become the best developer & AWS Cloud Practitioner you can be. If you are new to Android development and my courses, I suggest you start with my most comprehensive Android course: 1. The Comprehensive 2020 Android Development Masterclass - You'll learn everything you need to know to get started with Android Development - no experience required!Next: 2. The Complete Intermediate Android Masterclass - You'll learn intermediate Android topics such as Work manager API, ROOM Database, and working in the background in Android.Cross-platform Development courses & Web-related (Build iOS and Android Mobile Apps): 3. Flutter & Dart - The Complete Flutter App Development Course - Learn the Dart Programming language and build iOS and Android Apps with a single codebase. 4. AngularDart - Build Dynamic Web Apps with Angular & Dart - Unleash the power of one of the most used web development frameworks, Angular and Dart, to build dynamic web apps. 5. TornadoFX - Build JavaFX Applications With Kotlin - Leverage the modern programming language, Kotlin, and JavaFX libraries to build stunning desktop appsFor AWS Cloud Courses: 1. Amazon EC2 Master Class (with Auto Scaling & Load Balancer) 2. Amazon ECS & Fargate Masterclass 3. Amazon EKS with Kubernetes 4. AWS AppSync & Amplify 5. AWS Lambda and the Serverless FrameworkPurely Java-based courses:6. Java Masterclass - Beginner to Expert Guide - Want to learn Java from the ground up? Then this is the course you'll need.7. Java Design Patterns - The Complete Masterclass - Learn how to build reliable software using well-tested, proven Design Patterns.I look forward to seeing you in my courses.

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