Advance RAG : Vector to Graph RAG Neo4j Adaptive AutoGen RAG
Advance RAG course: Vector to Graph RAG Neo4j Adaptive AutoGen RAG. In this course, you will learn how to master Retrieval Augmented Generation (RAG), an advanced artificial intelligence technique that combines retrieval-based methods with generative models. This course is designed for developers, data scientists, AI enthusiasts, quality engineers, students who want to build practical applications using RAG, from a simple chatbot based on vector RAG to advanced chatbot with Graph RAG and self-reflective RAG. You will explore the theoretical principles, practical implementation and real-world use cases of RAG. At the end of this course, you will have the skills to create RAG-based AI applications.

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What You'll Master in this Course
Course Curriculum21 Lectures
10 sections • 12 hours total length
Requirements
- No prior RAG experience required.
- Very basic python knowledge will help.
- Don’t worry without python knowledge also you will learn how to implement RAG chatbot.
Description
Instructor
Udemy
Specialist in AI, Machine Learning & Data Science
Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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