Module VI: Modern Architectures & LLM Integration

The curriculum examines the integration of KGs with Large Language Models (LLMs) to create verifiable AI systems.

GraphRAG: Implementing Retrieval-Augmented Generation where LLM responses are grounded in verified KG facts to solve the "hallucination problem".

Zero-Shot Extraction: Using LLMs to perform knowledge acquisition without extensive training sets, leveraging their pre-trained "commonsense".

Hands-on Engineering: Practical implementation using tools like Neo4j AuraDB and Python-based automation for end-to-end pipeline management.