Semantic Search

If you’ve been working with modern AI systems — particularly in the realm of Large Language Models (LLMs), image embeddings, or recommendation engines — you’ve probably heard of vector databases. But what are they really? And why is everyone in the ML community suddenly so excited about them? Let me break it down in simple terms, along with how I’ve been exploring them in my own projects. 🔍 The Problem: Why Traditional Databases Fall Short Traditional databases (like PostgreSQL or MongoDB) are great when you’re dealing with exact matches or relational queries: ...

We hear the term knowledge graph everywhere now — from Google Search to enterprise AI to GenAI apps. But what exactly is a knowledge graph, and why is everyone suddenly obsessed with it? In this post, I’ll break down knowledge graphs in plain language: what they are, how they work, and how I use them in my own projects. 🧱 The Basics: What Is a Knowledge Graph? At its core, a knowledge graph is a network of real-world entities (people, places, things) and the relationships between them. It’s how machines can represent, understand, and reason about the world — kind of like a human brain, but for structured data. ...