GraphNews

Budget for Semantic Capabilities is Non-Negotiable! Music to my ears!! Scratching your head on how to start? Take a look at the 20 lessons learned from 20 years of building knowledge graphs and ontologies. https://lnkd.in/g_y5KMVm This may be new to you. But there is a large community who have been working with semantics and doing this in production for a while. For example, see all the companies that presented at Connected Data London and The Knowledge Graph Conference last year. Take a look at my trip report for more details on those companies and what they are doing https://lnkd.in/gFQZQhyE You don’t have to be on this semantic journey by yourself. This is moment to leverage the community!

Crack open your codebase RAG with a knowledge graph analysis that illustrates hidden inheritance chains, hub detection, and more in this 2-part blog series.

Enterprise Data Architecture for the Agentic Era, Part 3 of 3

KuzuDB was archived in October 2025. Vela Partners forked it with concurrent write support for multi-agent workloads. Benchmarks show 374x faster path queries than Neo4j. Full architecture guide for AI agent memory on graph databases.

Neo4j databases are famous for being schema-optional and developers love the flexibility this gives them to get up and running fast. But eventually, it’s time to go to production… and you need rules. You need structure. You need to enforce… Read more →

Before Shannon, "information" meant whatever people wanted it to mean — knowledge, facts, news, data.

Why Natural Language Interfaces to Graphs Often Fail and What Graph Architecture Has to Do With It

Palantir built a $400B empire on ontology-first AI systems long before LLMs.

🗂️⚠️ Much of the current conversation around AI focuses on bias, ethics, and governance — but rarely does it dig into the history of categories themselves and their lasting impact.

A nod to a storytelling genius in the Age of SHACL

How reifications shape the way we think about data.

Decompose large PRs into a DAG of small, reviewable stacked PRs - vitali87/pr-split

"We'll Just Get an LLM to Write Our Ontology"

Part 3 — Evaluation Framework

Table of Contents

Bridging Wikidata, MeSH, and DO in a Unified Knowledge Graph

Turn your scattered AI coding sessions into a queryable knowledge graph. Multi-platform (Claude Code, ChatGPT, DeepSeek, Grok, Warp), W3C ontology, Wikidata entity linking, SPARQL. - robertoshimizu...

LinkedIn is walking through a massive people graph — but smartly.

We finished the first half of "GraphRAG: The Definitive Guide" with O'Reilly and have it available for early access today. We now cover everything from Knowledge Graph Concepts to Common GraphRAG Patterns. This is a great reference on GraphRAG for anyone who wants to incorporate graphs into their Agentic Application! 🤖📔🎉 https://lnkd.in/gMSp8VGh

To understand how to answer world questions from data models, we don't need semantic layers, we need ontologies