Vector technology in AI, often referred to with implementations, vector indexes, and vector search, offers a robust mechanism index and query through high-dimensional data entities spanning images, text, audio, and video. Their prowess becomes evident across diverse spectrums like similarity-driven searches, multi-modal retrieval, dynamic recommendation engines, and platforms leveraging the Retrieval Augmented Generation (RAG) paradigm. Due to its potential impact on a multitude of use cases, vectors have emerged as a hot topic. As one delves deeper, attempting to demystify the essence of “what precisely is vector search?”, they are often greeted by a barrage of terms — AI, LLM, generative AI — to name a few. This article aims to paint a clearer picture (quite literally) by likening the concept to something we all know: colors.

Infinite hues bloom,

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