• views: 92
• date: 11 July 2025
• posted by: 0nelove

Learn how to build robust AI applications by creating knowledge graphs for retrieval-augmented generation (RAG) in Python using LangChain and Neo4j.
Course details
This beginner-friendly course introduces the fundamentals of GraphRAG (Graph Retrieval-Augmented Generation), a cutting-edge technique that combines knowledge graphs with generative AI to enhance contextual relevance and precision. Designed for professionals and students new to GraphRAG, the course covers key concepts, including graph structures, nodes, edges, and relationships, as well as practical skills in building and configuring GraphRAG models. Explore how to integrate GraphRAG into existing workflows to create enriched, data-driven AI applications, through hands-on exercises and real-world examples. By the end of the course, you will be able to identify use cases and implement GraphRAG effectively in a generative AI pipeline.




   
   
   

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