Going Meta

Going Meta S02E11 – a Series on Semantics, Knowledge Graphs and All Things AI

Going Meta S02E10 – Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma

Going Meta S02E09 – Structural Patterns for Ontology Reconciliation

Going Meta S02E08 – Agentic Workflows for Dynamic Ontology Selection in KG Construction

Going Meta S02E07 – Enhancing LLM Tool Calling with Ontologies

Going Meta S02E06 – Retrieval Methods Compared

Going Meta S02E05 – One Ontology to Rule Them All: Building Knowledge Graphs from Mixed Data

Going Meta S02E04 – Ontology-driven end-to-end GraphRAG with the GraphRAG Python Package

Going Meta S02E03 – Blueprints for Knowledge Graph Construction from Unstructured Data

Going Meta – S02 Ep02: Using Ontologies to Guide Knowledge Graph Creation Part 2

Going Meta – S02 Ep01: Using Ontologies to Guide Knowledge Graph Creation from Unstructured Data

Going Meta – Ep 27: Building a Reflection Agent with LangGraph

Going Meta – Ep 26: Unpicking the data.world Benchmark on the Role of KGs in LLM QA

Going Meta – Ep 25: LLMs for Automated KG Construction

Going Meta – Ep 24: KG+LLMs: Ontology driven RAG patterns

Going Meta – Ep 23: Advanced RAG patterns with Knowledge Graphs

Going Meta – Ep 22: RAG with Knowledge Graphs

Going Meta – Ep 21: Vector-based Semantic Search and Graph-based Semantic Search

Going Meta – Ep 20: A Recap

Going Meta Ep 19: Ontology Versioning in Neo4j

Going Meta – Ep 18: Easy Full-Graph Migrations from Triple Stores to Neo4j

Going Meta – Ep 17: RDF-ing between OpenAI and Neo4j

Going Meta – Ep 16: Semantic Similarity Metrics in Taxonomies

Going Meta – Ep 15: Building a Semantic Data App with Streamlit

Going Meta – Ep 14: Taxonomy reconciliation

Going Meta – Ep 13: Creating (and RDF-izing) virtual graphs over external data

Going Meta – Ep 12: Importing RDF data into Aura with Python + RDFLib

Going Meta – Ep 11: Better Graph Data Quality with Graph Expectations

Going Meta – Ep 10: SPARQL based integrations… and managing graph expectations

Going Meta – Ep 9: Unsupervised KG construction. Graph Observability

Going meta – Ep 8: Common RDF Integration Patterns

Going meta – Ep 7: Generating natural language from your knowledge graph by annotating ontologies

Going meta – Ep 6: Ontology learning from graph data

Going meta – Ep 5: Ontology-driven Knowledge Graph construction

Going meta – Ep4: Ontology based reasoning 101

Going meta – Ep 3: Controling the shape of your graph with SHACL

Going Meta – Ep 2: Semantic search: A worked example

Going Meta Ep1: Cypher and SPARQL side by side