Supercharge AI with Knowledge Graphs: RAG System Mastery NEW

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

2:35:46

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1. Introduction

1. Introduction and Pre-requisites.mp4

01:47

2. Course Structure.mp4

01:01

2. Download Code

1. Get code.html

3. Development Environment Setup

1. Development Environment Setup & the OpenAI Account- Overview.mp4

02:01

2. Setup the OpenAI API Key.mp4

06:15

4. Knowledge Graph Deep Dive

1. Knowledge Graph Deep Dive - Definition and Key Concepts.mp4

05:45

2. Knowledge Graph Structure - Construction and Application.mp4

05:16

3. Summary.mp4

03:18

5. Hands-On Knowledge Graph Deep Dive -Neo4j Introduction and Overview

1. Building Knowledge Graphs & Neo4j Introduction and Overview.mp4

04:31

2. Neo4J - Fundamentals.mp4

01:18

3. Neo4j Browser Overview.mp4

03:57

4. Setting up Neo4J - Create the Graph Database Instance and Connect to It.mp4

04:50

5. Connecting to Our Graph Database Programmatically.mp4

05:00

6. Programmatically creating Entities & Relationships Generating a Knowledge Graph.mp4

07:45

7. Run a Simple Query - Get All Entities Names.mp4

01:40

8. Running a Query to Get Paths-Relationships.mp4

01:56

9. Summary.mp4

01:09

6. Knowledge Graphs & RAG Systems

1. Knowledge Graph & RAG - Full Overview.mp4

04:59

2. Hands-on - Extracting CSV file Data & Transform it Into a Knowledge Graph.mp4

15:08

3. Neo4j Browser - View the Entire Graph Visually.mp4

01:39

4. Querying Knowledge Graph with LangChain Wrappers.mp4

09:45

5. Summary.mp4

02:07

7. Knowledge Graph & RAG - Index Creation and Vector Store - Embeddings

1. Creating a Vector Index, Creating Embeddings and Populating then Into the DB.mp4

09:34

2. Querying the Vector Index and Knowledge Graph.mp4

05:39

3. Summary.mp4

01:11

8. Hands-on User Cases - Graph Retrieval and RAG Systems - The Whole Flow

1. Graph Retriever & Knowledge Graph - Full Flow Overview.mp4

02:35

2. Hands-on The Roman Empire RAG System and Knowledge Graph.mp4

02:36

3. Setting up the Project and Loading Wikipedia Data and Splitting Docs into Chunks.mp4

05:41

4. Extract Graph Data and Generate the Knowledge Graph.mp4

07:55

5. Visualized the Whole Knowledge Graph.mp4

01:37

6. Graph Retriever and Entity Parser Setup.mp4

09:19

7. Create the Full Text Index and Necessary Functions to Return Entities.mp4

03:42

8. Define the RAG Chain and Put it All Together - GraphRAG.mp4

10:38

9. Summary.mp4

01:41

9. Wrap up

1. Next Steps.mp4

02:31

Description

Enhance Large Language Models Using Structured Context and Retrieval-Augmented Generation - Neo4j, LangChain, Cypher

What You'll Learn?

Understand Knowledge Graph Fundamentals
Implement Knowledge Graphs with Neo4j
Enhance the accuracy of RAG application with Knowledge Graphs
Create and Utilize Full-Text Search Indexes

Who is this for?

Data Scientists and Analysts

Software Developers and Engineers

AI and Machine Learning Enthusiasts

Business Intelligence Professionals

What You Need to Know?

Basic Understanding of Databases

Fundamental Programming Skills

Basic Understanding of AI, LLM

More details

Description
Are you ready to take your AI skills to the next level? Welcome to "Supercharge AI with Knowledge Graphs: RAG System Mastery", the ultimate course designed to unlock the full potential of Large Language Models (LLMs) using cutting-edge techniques in Knowledge Graphs and Retrieval-Augmented Generation (RAG) systems.
What You Will Learn:
Foundations of Knowledge Graphs: Understand the core concepts, structure, and components of knowledge graphs and how they represent complex data relationships.
Introduction to RAG Systems: Learn what Retrieval-Augmented Generation is and why itâ€™s a game-changer for improving the performance of AI models.
Integrating Knowledge Graphs with LLMs: Discover how to combine knowledge graphs with large language models to provide structured, relevant context and boost AI capabilities.
Building and Querying Knowledge Graphs: Gain hands-on experience in creating and querying knowledge graphs using popular tools and technologies.
Optimizing AI with Structured Data: Explore strategies for enhancing AI performance by leveraging the structured data provided by knowledge graphs.
Real-World Applications: Dive into practical examples and case studies showcasing the use of knowledge graphs in various industries such as healthcare, finance, and more.
Advanced Techniques: Learn advanced methods for fine-tuning LLMs and integrating them with RAG systems for superior results.
Course Highlights:
Hands-On Projects: Work on real-world projects to build and optimize knowledge graphs and integrate them with AI models.
Expert Instructors: Learn from industry experts with years of experience in AI, knowledge graphs, and RAG systems.
Interactive Content: Engage with interactive lectures, quizzes, and assignments to reinforce your learning.
Community Support: Join a community of learners and professionals to share insights, ask questions, and collaborate on projects.
Who This Course Is For:
AI and Machine Learning Enthusiasts: Individuals looking to deepen their understanding of AI and enhance the performance of their models.
Data Scientists and Engineers: Professionals seeking to leverage knowledge graphs and RAG systems for more effective data management and analysis.
Developers and Programmers: Technologists interested in integrating cutting-edge AI techniques into their applications.
Business Analysts and Managers: Decision-makers aiming to harness the power of AI for strategic insights and competitive advantage.
Why Enroll?
In todayâ€™s data-driven world, the ability to utilize structured data and advanced AI techniques is a significant advantage. This course equips you with the knowledge and skills to stay ahead of the curve, providing practical, actionable insights that you can apply immediately. Whether you're looking to enhance your career, innovate in your current role, or simply explore the fascinating world of AI, this course offers the comprehensive learning experience you need.
Enroll now in "Supercharge AI with Knowledge Graphs: RAG System Mastery" and transform your understanding of AI, knowledge graphs, and Retrieval-Augmented Generation. Take the first step towards mastering the future of AI today!
Who this course is for:
Data Scientists and Analysts
Software Developers and Engineers
AI and Machine Learning Enthusiasts
Business Intelligence Professionals

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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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