Going Meta is a monthly live-stream series hosted by Jesus Barrasa that explores the intersection of knowledge graphs, semantic technologies, and large language models. Running since 2022 across three seasons and 46+ episodes, each session ships working code you can run yourself against Neo4j.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/jbarrasa/goingmeta/llms.txt
Use this file to discover all available pages before exploring further.
Introduction
What Going Meta covers, who it is for, and how each season is structured.
How to Use
Navigate the sessions, run the notebooks, and get the most out of each episode.
Setup
Configure Neo4j, install Python dependencies, and prepare your environment.
Core Concepts
Primers on knowledge graphs, ontologies, RDF/SPARQL, and GraphRAG.
What You Will Find Here
Going Meta sessions are organized into three seasons. Each session page explains the topic, walks through the key techniques, and links to the source code and recording.Season 1 (2022–2024)
27 episodes covering SPARQL, SHACL, ontology reasoning, semantic search, RDF integration, and the first wave of LLM/KG patterns.
Season 2 (2024–2025)
10 episodes on ontology-guided KG construction from unstructured data, GraphRAG end-to-end, LLM tool calling, and agentic workflows.
Season 3 (2025–2026)
8+ episodes on MCP servers, agent memory, SHACL validation, ontology quality metrics, and agent skills for ontology creation.
Key Topics Across All Sessions
GraphRAG
Combine vector search with graph traversal and LLMs to answer questions over knowledge graphs.
Ontologies in Neo4j
Import, version, query, and evaluate OWL/SKOS ontologies using Neosemantics (n10s).
SHACL Validation
Enforce structural constraints on graph data with SHACL shapes and n10s.
Agentic Workflows
Build LangGraph agents that dynamically select ontologies and construct knowledge graphs.
All session code lives in the GitHub repository. Each session folder contains Cypher scripts, Jupyter notebooks, Python files, and ontology files you can run directly.