Vector Databases vs Knowledge Graphs: When Each Wins
Автор: AdvSkill Learning
Загружено: 2026-02-23
Просмотров: 16
Описание:
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:
🧠 • Vector Databases vs Knowledge Graphs Quiz ...
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.
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