Ka Ling Wu·2d agoOntology vs Knowledge Graph vs Semantic Layer, Shown on One Subscription BusinessThe same Customer, Subscription and Invoice built as a taxonomy, an ontology, a knowledge graph and a semantic layer, and what each…
Muhammad Awais·Nov 4Why Traditional RAG is Failing Your AI Strategy (and How GraphRAG Fixes It)Standard Retrieval-Augmented Generation (RAG) has become the default architecture for enterprise generative AI systems. On paper, the…
Navaneethan L·Nov 3Ontology Engineering for Enterprise AI: Grounding LLM Reasoning in Domain StructureThe previous article established that knowledge graphs are the right retrieval primitive for multi-hop, relationship-aware enterprise…A response icon1
Navaneethan L·Nov 3Knowledge Graphs as AI Memory: When Vector Search Is Not EnoughVector search is the right retrieval primitive for most enterprise RAG systems. Embed a query, find the nearest chunks, assemble context…
Muhammad Awais·Oct 28Beyond Vector Search: 5 Surprising Insights on How GraphRAG and Agent Memory Are Reshaping AIIntroduction: The Hidden Ceiling of Modern AI Retrieval