#knowledge-graph

RAG vs. GraphRAG for Enterprise AI Agents: Architecture, Data Governance, & Latency Bottlenecks

Standard Vector-based Retrieval-Augmented Generation (RAG) is hitting a hard operational ceiling in enterprise environments. While dense…

Centrality Algorithms: Seven Ways to Find What Matters in a Network

Degree, Betweenness, Closeness, Eigenvector, PageRank, Katz, and Harmonic centrality — explained through intuition, trade-offs, and…

The Structure-First Secret: Why Future AI Must Possess a “Soul” and a “Skeleton”

From Tim Berners-Lee’s Semantic Web vision to why AI must shift from “statistical violence” back to “structural-first” computing.

Demystifying Graph Technologies in AI: Context Graph, Graph RAG, and Graph MCP

As artificial intelligence shifts toward autonomous agents and complex enterprise reasoning, graph-based architectures have moved to the…

Building the Ontology Is Manual Work. And That Is Exactly the Point.

The most common objection to knowledge graphs. And why it misses the real question.

Beef Lasagne, Five Countries, One Graph: The Horsemeat Scandal and Neo4j

A frozen lasagne crossed five countries before anyone could name what was in it. The fix wasn’t more paperwork; it was modelling the supply…

After Testing Graphify Claude Code Skill (I Saw What’s Broken & Fixed It)

I thought Claude Code was perfect until Graphify showed me otherwise.

Google’s Open Knowledge Format Doesn’t Solve Everything

Why AI agents need Context Graphs to bridge knowledge and decisions.

From Tables to Relationships: Understanding Knowledge Graphs and Graph Databases (Neo4j)

How learning about Knowledge Graphs changed the way I think about recommendation systems.

One starter repo, three winners: Neo4j at Hack the Video Agent Context Graph

AWS Builder Loft, San Francisco · July 30, 2026

[2026] Building Multi-Agent KAG Systems with Snowflake Dynamic Tables, LangGraph, and Neo4j

The “Fashionista” of Data Engineering

Before You Build a Knowledge Graph, You Need to Solve Identity

A financial services team I know spent nine months building a knowledge graph. The use case was compelling: link entities across…

Knowledge Graphs in the LLM Era: A Practical Guide to Semantic Engineering

How knowledge graphs turn scattered records into connected, explainable, and continuously updated knowledge

The Skill I’m Betting On: Graph Databases in the Siemens–Altair Era.

I want to explain why I am learning this now. Siemens recently acquired Altair. With it Altair Graph Studio, which is an enterprise…

Neo4j Agent Memory: Giving AI Agents a Graph-Shaped Memory

Ask any AI agent the same question twice, in two different sessions, and you’ll notice something: it has no idea it already answered you…

Google Knowledge Panel is the complete guide to creating, claiming & optimizing your brand entity

Google Knowledge Panels are one of the best indicators a business, personal brand or organisation can have in Google Search. It is not…

Andrea Johnson on the stand. The headlines and the record are telling two different stories.

This week, Advocate Andrea Johnson, the head of the Investigating Directorate Against Corruption, took the witness chair at the Madlanga…

LLM SEO for Technology Companies: Proven Techniques to Increase AI-Driven Traffic

Artificial intelligence is changing how people discover products, services, and information online. Instead of relying solely on…

The Knowledge Graph Figure You’ve Been Skimming Past Has a Grammar; Here’s How to Read It

A tangle of coloured dots and arrows isn’t decoration. It’s a claim, and it has rules you already half-know from every other kind of…

The witness who never spoke

The witness who never spoke: a Madlanga week of testimony about Andrea Johnson

Knowledge Graphs & Graph RAG, Hands-On

A work-along tutorial, continuing the series (RAG → Agents → LangChain → Vector DBs → this). Your vector RAG retrieves similar chunks. But…

Graphify el grafo de conocimiento que le falta a tu asistente de IA

Cuando un asistente de código con IA dice que “entiende” tu proyecto, en la mayoría de los casos no es así lee archivo por archivo, intenta…

Graph used right & built fast: Neo4j at HackwithBay 3.0

AWS Builder Loft, San Francisco · July 7, 2026 · Theme: “Thoughtful Agents for Productivity”

The Software Factory Pointed at Itself: Why Self-Improving Agents Will Fail Without Adaptive Memory

A fascinating idea has been making the rounds on tech Twitter lately, perfectly encapsulated by Yohei Nakajima in this foundational post:

Loop Engineering AI knowledge Graph Ingestions Using SHACL

AI agents are increasingly being used to build knowledge graphs, but how do you maintain quality? Manual human review of AI generated RDF…

Understanding AI Visibility: A Framework for How AI Platforms Build Organizational Knowledge

How structured public information helps AI understand companies across languages, platforms, and markets

Everyone Says Graphify Cut Their AI Coding Bill 70x.

Open any developer feed right now and you will trip over the same headline in five different fonts. Someone cut their Claude Code token…

A Git-inspired Knowledge Graph

To make your knowledge graph enterprise-ready, an important but perhaps overlooked aspect is approving the changes to the KG. I want to…

Detecting connections as they form: An introduction to streaming graph pattern matching

Originally published by Cyril Scetbon on 13 April, 2026

Hybrid Retrieval in Practice

How We Built a Knowledge Graph for Barley

The GTM Identity Graph: Who Your Agents Need to Know Before They Act

Your semantic layer defines what “an opportunity” means. It’s still guessing whether these two records are the same account.

Introducing Explore Beta

A building’s graph holds context: every point, asset, and space, and the relationships between them. But until now, the only way to inspect…

Continuum

Continuum: Building a Memory That Catches You Contradicting Yourself, Live

Building a Supply Chain Digital Twin on Arango

Graph, vector, geospatial, and machine learning in one unified data platform

Four Ways to Wire a Multi-Agent System (and When Each One Breaks)

TL;DR: Once you have decided you actually need more than one agent, the next choice matters more than most teams realize: how you wire them…

Part 5: Extracting Ontology-Compliant Knowledge Graphs from Sources

A series of articles on semantic foundations for goal-directed intelligence: Table of Content

The Knowledge Graph Trilogy-What Every PM Needs to Know About Ontology, Knowledge Graphs , Graph RAG

LightRAG, hands-on: fast graph-RAG with GPT-5 and Qdrant

LightRAG turns your documents into a knowledge graph and answers questions with a dual-level retrieval paradigm — comprehensive like…

Your Schema Is Perfect and Google Still Does Not Know Who You Are

Schema is a claim. Your entity only grows when other sources back it up. Here is the work that does it.

Orchestrating an Agentic Memory System: Tools, Hooks, and the Wiring That Makes Agents Learn

Part 1B of the series. Where the first part (1A) made the architectural argument, this post shows how we wired the first iteration of it…

Why I Still Don’t Use NotebookLM as My Primary Research Tool (Even After the Update)

The June 2026 update is genuinely good. But it still doesn’t fit how researchers actually work.

Transcend: A Dual Reasoning Engine That Goes Beyond the Code Graph

Co-written by Claude Sonnet 4.6

Six Dimensions of the Semantic Layer in Agentic AI World

Understanding these six dimensions and the trade-offs is the foundation for building a robust semantic layer that AI agents can consume and…

The Bottleneck in Enterprise AI Is No Longer Data. It’s Semantic Consistency

Organizations have invested heavily in data platforms, cloud infrastructure, and AI capabilities. The systems are capable. The data is…

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

Run Cypher queries, graph algorithms, and AI agents directly on your Snowflake data. No ETL. No ingestion. Full Neo4j tooling.

Building my own LLM-Wiki Research Team

LLM Wikis and knowledge organization

Reliable Knowledge Extraction for AI Systems

A design-patterns perspective on knowledge graphs and GraphRAG

From Static Graph to Agent Tool: Wiring a Knowledge Graph for Consumption with FastMCP

Over the last several months I have been digging into knowledge graphs, and not so much the building side of it. There is already a lot…

Artificial Identity: What It Is and How Digital Persons Become Recognizable

A digital person becomes real for public knowledge when identity becomes stable, searchable, citable, archived, machine-readable, and…

The Minimum Viable Ontology: Building an Operating-Layer Knowledge Graph You Can Actually Trust

Andrea Volpini says the ontology is becoming the control plane for AI agents. Sergey Vasiliev warns we’re scaling unvalidated meaning into…