Published inArtificial Intelligence in Plain EnglishRelations as Nodes: Concept Graphs and Subgraphs for AI Memory ModelsThe Limitations of RDF and Triples1d ago11d ago1
Published inArtificial Intelligence in Plain EnglishFrom Ontology to Domain Objects: Bridging Knowledge Graphs and AI driven Application DevelopmentFeb 283Feb 283
Top Performers and High-Performing TeamsIn today’s fast-paced business world, every manager dreams of leading a high-performing team. The allure of “10x developers” or…Feb 26Feb 26
Published inArtificial Intelligence in Plain EnglishConcept Graphs and Frames for Reasoning AI AgentsIntroductionFeb 231Feb 231
Published inStackademicWe do not solve the problems we have; we solve the problems we understand.We do not solve the problems we have; we solve the problems we understand.Feb 191Feb 191
Published inArtificial Intelligence in Plain EnglishOntology vs Graph Database. LLM Agents as ReasonersWhy do we need Ontology for AI Agents ?Feb 165Feb 165
Benefits of LocalFirst for the Good of AllLocal-first applications prioritize user-centric data ownership by storing data on the user’s device rather than relying on the cloud. They…Feb 111Feb 111
Published inArtificial Intelligence in Plain EnglishTime Traveling for Knowledge Graphs and AI AgentsScience Fiction, Time Travel, and Modern Data SystemsFeb 92Feb 92
Published inArtificial Intelligence in Plain EnglishFullstack LLM Developers and Fullstack AI-Driven ProductsHow does AI-driven engineering transform product teams?Feb 5Feb 5
Published inArtificial Intelligence in Plain EnglishDo We Need Graph Databases for Personal AI and Agents?The Case for Graph DatabasesFeb 13Feb 13