RRevOS_AI10h ago · 21 min readWhat Is a Company Brain? 6 Approaches ComparedKey takeaways A company brain is a shared context layer that holds what your company knows, so any AI agent or teammate can use it. That includes documents, decisions, definitions, and live business revosai.hashnode.dev
RRONI DAS3d ago · 34 min readNeo4j Context Engine, Explained: An Ontology That Tells AI Agents What Your Words Mean, and a Lab You Can RunOn 19 October 2026 Neo4j announced Context Engine, a product that gives AI agents a map of what a company's words mean and where its data lives. It is in private preview, so I could not use it. I builsystemdesignacademy.hashnode.dev
SSubramanya M RaoOct 18 · 11 min readPromiseGraph: Building a Customer-Operations Agent with a Graph Memory on FalkorDBRepo: Submission Repo · Demo video: Demo Video of PromiseGraph 1. The problem: every customer request is a research project A customer writes in: "Our scheduled exports stopped working. We need them subramanyarao.hashnode.dev
Aaryan gordeOct 17 · 11 min readHow far does a retraction reach? Tracing the science built on a retracted paper with a graphIn 2006, Nature published a paper on Alzheimer's disease. It said that one specific assembly of amyloid-β in the brain impairs memory. Eighteen years later, in 2024, it was retracted. Today, 2,768 paparyangorde.hashnode.dev
RRevOS_AIOct 14 · 14 min readThe Best Way to Structure Data for AI AgentsAsk five vendors how to get your data ready for an AI agent, and you'll get five different answers, and every one of them will happen to be whatever that vendor sells. The graph-database company says 11Orevosai.hashnode.dev
SSui GnOct 2 · 9 min read.me on the GTFS Madrid Benchmark: What Stayed Constant as the Dataset Grew 100×We have spent a lot of time testing .me with synthetic workloads. Those tests are useful. They let us isolate fan-out, deep dependency chains, recomputation waves, early cutoff, and other properties oneurons-me.hashnode.dev
MMike DyerSep 28 · 13 min readMarked Isn't EnforcedMost agent memory can find the decision you asked about. Far less of it can tell you whether that decision still stands, and even when it knows, it often hands you the old one anyway. Fourth post in t14Mblog.coada.dev
EElie NehméSep 18 · 35 min readFrom Legacy Artifacts to Served Context: My Six-Stage MethodNote: Originally published on Medium In my previous article, I explained why RAG alone was not enough for my legacy system, which standards exist (RDF, SKOS, SHACL, R2RML...), how to govern them, andelie29.hashnode.dev
AanckursinghSep 11 · 16 min readCan AIKOQL Work Alongside PostgreSQL, Vector Databases, and Knowledge Graphs?There is a question I expect almost every experienced engineer to ask when they first see AIKOQL: Why do we need another database? It is a fair question. Most organizations already have databases. Taikoql.hashnode.dev
SShaik Mujtaba HussainSep 10 · 8 min readInside OKF: How the Files Actually Work(Part 3 of 5: Understanding OKF) In Part 1, we covered the shape of OKF at a high level: a folder of markdown files, each with a small metadata header. In Part 2, we made the case for why this needs tmujtaba08.hashnode.dev