What is a Vector Database & How do they really work?
In the earlier section, I demonstrated how we can generate embeddings of input texts using embedding models from OpenAI's offerings. These vector embeddings span multiple dimensions, providing a comprehensive representation of data within a vector space. The vector Embeddings have multi dimensions or a high number of dimensions to represent the data in the vector space.This multidimensional model uncovers related vectors using a similarity algorithm that connects vectors with the shortest distances between them.
Traditional RDBMS or NoSQL databases face challenges in storing vector data with a high volume of dimensions alongside other data types. Additionally, these databases struggle to scale. It returns results only when the input query exactly matches the stored text in the index. To address this, a cutting-edge database concept...
