Vector Databases vs Knowledge Graphs: When Each Wins скачать в хорошем качестве

Vector Databases vs Knowledge Graphs: When Each Wins

Vector databases and knowledge graphs are often treated as interchangeable in GenAI systems — but they solve fundamentally different problems. This video explains when similarity search wins, when structured reasoning wins, and why hybrid architectures are often the real answer. 🧠 The core difference between semantic similarity and explicit relationship modeling 🏗️ How vector retrieval and graph traversal fit into modern RAG architectures ⚠️ Why forcing similarity search to do structured reasoning leads to unreliable systems Test your understanding: 🧠 Quiz coming soon Explore the full series: 📘    • GenAI Explained   🧪    • GenAI & ML Quizzes — Test Your Knowledge   👉 Subscribe to Advanced Skills Learning for more GenAI explainers, practical architectures, and quick quizzes.