{"id":7223,"date":"2026-08-10T09:41:54","date_gmt":"2026-08-10T09:41:54","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-advance-rag-vector-to-graph-rag-neo4j-adaptive-autogen-rag-2024-10\/"},"modified":"2026-08-10T09:41:54","modified_gmt":"2026-08-10T09:41:54","slug":"udemy-advance-rag-vector-to-graph-rag-neo4j-adaptive-autogen-rag-2024-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-advance-rag-vector-to-graph-rag-neo4j-adaptive-autogen-rag-2024-10\/","title":{"rendered":"Udemy \u2013 Advance RAG : Vector to Graph RAG Neo4j Adaptive AutoGen RAG 2024-10"},"content":{"rendered":"
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Description<\/span><\/h2>\n

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.<\/span><\/p>\n

What you will learn in this course<\/span><\/h3>\n