Graph Databases, Knowledge Graphs & GraphRAG
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10 lessons3 levels1 capstone project
Model connected enterprise data with nodes, edges and properties; learn graph data modeling, Cypher-style querying, knowledge graphs, graph/vector hybrid retrieval, entity relationships and GraphRAG patterns for reasoning over complex organizational context.
BASIC
- Knowledge Graphs and Neo4j — Neo4j (8 min)
Fast mental model for graph data, knowledge graphs and why connected context matters for applications and GenAI. - GraphRAG Explained: AI Retrieval with Knowledge Graphs & Cypher — IBM Technology (14 min)
Connect graph databases and knowledge graphs directly to modern retrieval and LLM grounding. - How to Build a Knowledge Graph — Neo4j Live (55 min selected)
Practical modeling, import, relationships and Cypher walkthrough using a real graph database.
INTERMEDIATE
- Data Modeling 101 for Lakehouse
Apply Graph Databases, Knowledge Graphs & GraphRAG through the adjacent capability: Data Modeling, Warehousing & Lakehouse. - Introduction to Databricks Lakehouse
Apply Graph Databases, Knowledge Graphs & GraphRAG through the adjacent capability: Data Modeling, Warehousing & Lakehouse. - Data Fabric Explained — IBM Technology
Apply Graph Databases, Knowledge Graphs & GraphRAG through the adjacent capability: Intelligent Data Platform.
ADVANCED
- Create a Lakehouse, Ingest Data and Build a Report
Extend Graph Databases, Knowledge Graphs & GraphRAG into senior/production practice through Data Modeling, Warehousing & Lakehouse. - Fact vs Dimension — Star vs Snowflake Schema
Extend Graph Databases, Knowledge Graphs & GraphRAG into senior/production practice through Data Modeling, Warehousing & Lakehouse. - Semantic Search with Pinecone — DataCamp
Extend Graph Databases, Knowledge Graphs & GraphRAG into senior/production practice through Embeddings.