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In today’s digital world, data is the foundation of every application — from banking platforms and e-commerce websites to AI assistants and recommendation engines. But not all data is the same, and that’s why different types of databases exist. Traditionally, systems relied on SQL databases to manage structured data. As…
Overview Generative AI has made huge progress, but even the most advanced Large Language Models (LLMs) still face a major challenge: they don’t have access to real-time or private data. This often leads to outdated answers or AI hallucinations. This is where Retrieval-Augmented Generation (RAG) plays a critical role. RAG…
Learn what vector databases are, why traditional databases fall short, and how vector databases power modern AI applications like chatbots, semantic search, and recommendation systems. Overview In recent years, Artificial Intelligence has moved far beyond simple rule-based systems. Modern AI applications aim to understand meaning, context, and similarity, not just…