Ontology-driven end-to-end GraphRAG with the GraphRAG Python Package
- 1Using Ontologies to Guide Knowledge Graph Creation from Unstructured Data
- 2Using Ontologies to Guide Knowledge Graph Creation
- 3Blueprints for Knowledge Graph Construction from Unstructured Data
- 4Ontology-driven end-to-end GraphRAG with the GraphRAG Python Package
- 5One Ontology to Rule Them All: Building Knowledge Graphs from Mixed Data
- 6Retrieval Methods Compared
- 7Enhancing LLM Tool Calling with Ontologies
- 8Agentic Workflows for Dynamic Ontology Selection in KG Construction
- 9Structural Patterns for Ontology Reconciliation
- 10Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma
- 112 years of KGs and GenAI. A Recap
Season 02 Episode 04 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Ontology driven end-to-end GraphRAG with the GraphRAG Python Package
Resources mentioned
- Jesús Barrasa (opens in a new tab)
- Repository (opens in a new tab)
- Knowledge Graph Book (opens in a new tab)
- Previous Episodes (opens in a new tab)
- GraphRAG Python Package (opens in a new tab)
- GraphRAG Pythong Package Docs
- Road to NODES GraphRAG Workshop
- GraphRAG Github (opens in a new tab)
- WebProtege (opens in a new tab)
GenAI & GraphRAGKnowledge graphsDeveloper tools






