LinkedIn – GraphRAG Essential Training 2025-7

GraphRAG Essential Training. This is an introductory course that introduces the fundamentals of the advanced GraphRAG (Graph Retrieval-Based Generative) technique. This technique combines knowledge graphs and generative AI to improve the accuracy and contextual relevance of AI applications. This course is designed for professionals and students who want to learn basic concepts such as graph structure, nodes, edges, and relationships. It also teaches practical skills such as building and configuring GraphRAG models through hands-on exercises and real-world examples. Participants will learn how to integrate the technique into existing workflows to create data-driven AI applications. By the end of the course, you will be able to identify use cases and effectively implement GraphRAG in a generative AI pipeline.

What you will learn

• A thorough understanding of GraphRAG: Understand how to prevent hallucination in generative AI programs and learn the role of knowledge graphs in this process.
• Basic Graph Concepts: Learn the basic concepts of graphs, including nodes, relationships, and attributes, and compare them to traditional data structures.
• Introduction to graph tools: using the Neo4j database, getting to know its browser, and writing basic Cypher queries.
• Building a Knowledge Graph: Learn how to create a knowledge graph for GraphRAG and use tools like LangChain to populate it with data.
• Integration with Generative AI: Build a GraphRAG pipeline with LangChain to query data and compare GraphRAG results with traditional vector-based RAG.
• Building a Q&A Robot: Do a hands-on project to build a Q&A robot using GraphRAG.

This course is suitable for people who:

• AI professionals: People looking to improve the accuracy and contextual relevance of their generative AI programs.
• Developers: Those who want to integrate advanced AI techniques into their workflows.
• Students: Students in computer science or artificial intelligence-related fields who want to gain practical skills in the field of GenAI and knowledge graphs.
• Data engineers: People who seek to use knowledge graphs to organize and analyze data.

GraphRAG Essential Training Course Specifications

• Publisher: LinkedIn
• Instructor: Dr. Clair Sullivan
• Education level: Intermediate
• Training duration: 1 hour and 39 minutes

Course headings

Course images

Sample course video

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Download file – 199 MB

File(s) password: www.downloadly.ir

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199 MB