Going Meta S02E03 – Blueprints for Knowledge Graph Construction from Unstructured Data
Season 02 Episode 03 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI Topic: Blueprints for Knowledge Graph Construction from Unstructured Data Jesús Barrasa: / barrasadv Repository: https://github.com/jbarrasa/goingmeta Knowledge Graph Book: https://bit.ly/3LaqE6b Previous Episodes: https://bit.ly/40Ogj8S GraphRAG in Action: https://towardsdatascience.com/graphr... Protege: https://protege.stanford.edu/ neosemantics: https://neo4j.com/labs/neosemantics/ Ep25 - LLMs for Automated KG Construction: • Going Meta - Ep 25: LLMs for Automated KG ... GraphRAG Python Package: https://bit.ly/413DSLv #graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data

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

▶︎
The Connected Startup Episode 1: Papr

▶︎
Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)

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

▶︎
Integrating NLP Tools into Research: An Advanced Data Science Approach

▶︎
Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal

▶︎
Road to NODES AI: Graph-Based Long-Term Memory: How Agentic Workflows Adapt Through Experience

▶︎
How to Build Graph Database from Scratch

▶︎
Going Meta - Ep 2: Semantic search: A worked example

▶︎
Going meta - Ep4: Ontology based reasoning 101

▶︎
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j

▶︎
Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

▶︎
Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

▶︎
Taxonomy, Ontology, Knowledge Graph, and Semantics

▶︎
Going Meta S03E09 – Shape agent memory with ontologies

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

▶︎
Going Meta Ep1: Cypher and SPARQL side by side

▶︎
Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

▶︎
What is a Knowledge Graph?

▶︎
