Graph Retrieval Augmented Generation (Graph RAG) Explained | Next-Gen AI with Knowledge Graphs

Welcome to today’s session on Graph Retrieval Augmented Generation (Graph RAG) – an advanced AI technique that takes Retrieval Augmented Generation (RAG) to the next level by leveraging the power of graph data structures.

In this video, you will learn:
✅ What traditional RAG is and where it falls short
✅ How Graph RAG uses nodes and edges to represent information
✅ Why graphs make knowledge retrieval more accurate and contextually relevant
✅ The step-by-step process of Graph RAG
✅ Key benefits and real-world applications in healthcare, finance, research, legal, and enterprise domains

By the end, you’ll understand how Graph RAG bridges the gap between unstructured text and structured knowledge, giving AI the ability to provide responses that are not just factual but also deeply contextual.

???? Disclaimer

This video is created for educational and knowledge-sharing purposes only.
The content is AI-generated, and while care has been taken to ensure accuracy, some parts may be incomplete or incorrect. Please verify the facts independently before relying on them.

#GraphRAG #RetrievalAugmentedGeneration #ArtificialIntelligence #KnowledgeGraphs #MachineLearning #NextGenAI #ProfessorRahulJain

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