How I Converted Regular Rdbms Into Vector Database

Vector databases are an integral part of designing applications based on Large Language Models (LLMs). Vector databases are a special type of database designed to store and handle numerical representations of data such as text, images, audio, and video. Vector databases use algorithms such as K-Nearest Neighbor (K-NN) and Approximate Nearest Neighbor (A-NN) to find similar vectors in the same dimensions or having the shortest distance by applying cosine algorithm. Vector databases are essential for AI applications and can be used to solve use cases such as finding similar images, building recommendation engines, and identifying patterns in large datasets.