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 ...
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