Master Knowledge Graph Retrieval-Augmented Generation with Neo4j

An understanding of the fundamental concepts of generative AI, large language models (LLMS), and retrieval-augmented generation (RAG)

Familiarity with the path from plain text-based retrieval-augmented generation to graph RAG

The ability to enhance the response accuracy of generative AI-powered applications and reduce hallucination using graph RAG

The ability to construct and enhance knowledge graphs using LLMs

Hands-on experience integrating knowledge graphs with LLMs to improve their performance and generative AI-powered applications

Hands-on experience using Neo4j for storing entities and relationships of knowledge graphs