Artificial Intelligence • Interactive Module

Module 15: Advanced RAG & Knowledge Engineering

Master Graph RAG and Knowledge Engineering: Dense + BM25 hybrid search, Reciprocal Rank Fusion (RRF), Neo4j Cypher property graphs, automated triple extraction, Microsoft GraphRAG Leiden community detection, multi-hop reasoning, HyDE, and Ragas evaluation.

Concept Overview & Direct Technical Answer

Direct Definition: Master Graph RAG and Knowledge Engineering: Dense + BM25 hybrid search, Reciprocal Rank Fusion (RRF), Neo4j Cypher property graphs, automated triple extraction, Microsoft GraphRAG Leiden community detection, multi-hop reasoning, HyDE, and Ragas evaluation.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/graph-rag. Free, open curriculum for software engineers, systems practitioners, and interview candidates.