Generative AI with Vector Databases
As the adoption of Large Language Models (LLMs) continues to surge, the supporting infrastructure is evolving rapidly. One key technology empowering LLMs is vector databases . These specialized databases enhance search capabilities, improve response times, and optimize the efficiency of AI-driven applications. What is a Vector? In science, a vector is an entity characterized by both magnitude (size or quantity) and direction (angle or trend). Unlike scalars , which have only magnitude (e.g., temperature or mass), vectors are crucial in physics, where they represent quantities like velocity, momentum, and force. In software development, a vector refers to a one-dimensional data structure that stores elements of the same data type. Unlike lists and arrays, vectors optimize storage and access efficiency, making them ideal for machine learning applications. Vectorization in Natural Language Processing (NLP) Machine learning algorithms operate on numerical data, so textual data mus...