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Join Jennifer Reif, Senior Developer Advocate at Neo4j for this O’Reilly live event.
Her session abstract:
Illustrates how data flows through GraphRAG with visual learning aids, such as diagrams and walkthroughs.
Shows how to reduce hallucinations with GraphRAG by using structured, verifiable knowledge to build more accurate and trustworthy AI systems.
Breaks complex concepts down into digestible, practical lessons, showing not just what works, but why it works.
In this fast-paced technology industry, it is easy to feel overwhelmed by the amount of learning needed to simply keep up. Start with basic concepts of the AI industry, and then dive into technologies that support the incredible speed and developments in this space from the Java perspective. Vectors, RAG, GraphRAG, agents, MCP, and whatever comes next fit together as puzzle pieces … all you have to know is when and how to use them.
These concepts are not as complex as they seem, and once you learn the foundations, everything else (including new developments) builds on top of those blocks. This course will help you learn the terminology, see how it works through live demos, and then get hands-on experience with specific tools for building GenAI apps. We will cover vectors, RAG, and GraphRAG in detail, as well as highlight recent trends and developments in the space. Get caught up on the GenAI industry and open opportunities for deeper exploration, innovation, and just-right solutions!
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