Introduction Computers do not understand words. They understand numbers. This simple fact is the foundation of all modern AI. Before a machine can process language, it must convert text into a form it can work with. That conversion happens through embeddings. Embeddings are the unsung heroes of modern AI. They power semantic search, recommendation engines, retrieval-augmented
1) Start with the Problem: Why Do AI Agents Need Memory? Most AI agents fail not because of poor models—but because they forget. Imagine a customer support agent that helps you troubleshoot a problem, then completely forgets the conversation when you return an hour later. Or a personal assistant that asks for your preferences repeatedly because
Introduction Imagine an AI that doesn’t just guess the answer but thinks through problems step by step, searches for information when it doesn’t know something, and adjusts its approach based on what it finds. This is the essence of the ReAct pattern – a revolutionary prompting paradigm that has become the foundation of modern AI agents . Developed