Explore in-depth guides, research breakdowns, and practical insights on AI, Machine Learning, and cutting-edge techniques.
A practical breakdown of the .claude folder and how it controls Claude’s behavior. Learn how to move from inconsistent outputs to a predictable, system-driven workflow.
A hands-on guide to building a Knowledge Graph directly from structured data. This article walks through shaping entities, defining relationships, preparing data, and constructing a graph that turns tables and files into meaningful connections.
Create a working AI agent using Microsoft Agent Framework along side MCP and Microsoft 365 Agents SDK. Run it in Azure Bot Service and get it ready for Teams and Microsoft 365 Copilot.
Before a Knowledge Graph connects data, it needs a mental model that connects understanding. This article explores how to define what matters, how things relate, and how to turn domain knowledge into the foundation for intelligent systems.
Knowledge Graphs store facts you can trace. LLMs absorb patterns you can’t see. This article breaks down how AI acquires, stores, and reasons with knowledge - and why explicit graphs and implicit neural models are two very different brains powering modern intelligence.
Behind every smart system is a Knowledge Graph quietly doing the heavy lifting. But what gives it superpowers? Four pillars think of them as the muscles that help your data flex, connect, and think.