It is great to be able to understand the paradigm shift of RAG and the concept of hybrid systems, while also learning various ways to optimize RAG.

tata

Learn the core principles and practical implementation of Classic RAG, Graph RAG, and Agentic RAG. You will design dynamic routing systems that optimize token efficiency and latency, and build long-term memory systems that combine GraphRAG's relational network reasoning with Agentic RAG's self-evaluation loops. This course is designed to complete your expertise in designing advanced RAG architectures that can be immediately applied in professional practice.

codebridge

얼리버드 할인

Mastering RAG Systems: Perfect Design from Classic to Agentic

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이론 실습 모두

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인공지능

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초급

중급이상

검색증강생성

AI 에이전트

AI Agent

리액트

React

Evolution of the RAG Paradigm and Overview of Architecture Design

Classic RAG Enhancement and Dynamic Routing System

Graph RAG: Relational Network Reasoning Using Knowledge Graphs

Agentic RAG: Self-Evaluation and Autonomous Retrieval Loops

Practical Application: Building Advanced RAG Based on Long-Term Memory Systems (xMemory)

RAG Operations for Production Environments (Update scheduled for May)

What knowledge to organize and how (Scheduled for update in May–June)

More updates coming soon 🚀