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Knowledge Graphs & GraphRAG: sections and modules
T13.2

Knowledge Graphs with Neo4j

Model a domain as nodes and relationships and query it with Cypher.

Lessons
8 lessons
By
Sourav Banerjee
Prerequisites
None

Lessons

Start module
8 lessons
  1. 1
    Knowledge Graphs with Neo4j: overview

  2. 2
    Graph fundamentals and Cypher

  3. 3
    From CSV to knowledge graph

  4. 4
    Natural-language graph QA (text-to-Cypher)

  5. 5
    Vector indexes on graph nodes

  6. 6
    LLM entity and relationship extraction

  7. 7
    End-to-end knowledge-graph RAG

  8. 8
    Knowledge Graphs with Neo4j: interview questions

Practise and Check

Deliverable
Domain KG: extract a graph from 20 documents in your domain, load it into Neo4j, and answer five multi-hop questions that vector RAG gets wrong.
Assessment
Answer the five Interview questions without notes, then run the lab.
Interview probe
Larkspur's EU export plan disappears after a handbook update, although its passage still exists. How do you locate the failure?
Common mistakes
  • Merging a node on name and bio instead of a stable key
  • Trusting a read-only prompt and allow_dangerous_requests to protect the database
  • Flattening a conditional sentence into an unconditional SUPPORTS edge

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