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Knowledge Graphs & GraphRAG: sections and modules

T13

Knowledge Graphs & GraphRAG

Hierarchical and memory-augmented retrieval, knowledge graphs in Neo4j, and GraphRAG for global and multi-hop questions.

Requirement: Optional
For whom: Engineers who want depth beyond flat-chunk retrieval
Notebooks: 14
Before this track: Agent Protocols: MCP & A2A
By: Sourav Banerjee

Objectives

Pick a hierarchical or graph index for questions flat chunks cannot answer

Questions that span a whole corpus or follow relations need structure that flat chunks lack.

T13.1
Hierarchical & Memory-Augmented Retrieval
5 lessons
5 lessons
T13.2
Knowledge Graphs with Neo4j
8 lessons
8 lessons
T13.3
GraphRAG Techniques
6 lessons
6 lessons

Exercise: Answer a whole-corpus question with a summary tree and compare it with flat retrieval
Done when: You can answer every module's Interview questions without notes