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

The Connected Startup Episode 1: Papr
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The Connected Startup Episode 1: Papr

Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW)
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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
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Going Meta - S02 Ep01: Using Ontologies to Guide Knowledge Graph Creation from Unstructured Data

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

Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal
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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
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Road to NODES AI: Graph-Based Long-Term Memory: How Agentic Workflows Adapt Through Experience

How to Build Graph Database from Scratch
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How to Build Graph Database from Scratch

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

Going meta - Ep4: Ontology based reasoning 101
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Going meta - Ep4: Ontology based reasoning 101

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

Neo4j Live: Cognitive Sciences and Dynamic GraphRAG
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Neo4j Live: Cognitive Sciences and Dynamic GraphRAG

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

Taxonomy, Ontology, Knowledge Graph, and Semantics
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Taxonomy, Ontology, Knowledge Graph, and Semantics

Going Meta S03E09 – Shape agent memory with ontologies
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Going Meta S03E09 – Shape agent memory with ontologies

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

Going Meta Ep1: Cypher and SPARQL side by side
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Going Meta Ep1: Cypher and SPARQL side by side

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

What is a Knowledge Graph?
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What is a Knowledge Graph?

Creating Enterprise Knowledge Graphs from Unstructured Data
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Creating Enterprise Knowledge Graphs from Unstructured Data