Unlike traditional data, text embeddings are high-dimensional numerical representations that capture the semantic relationships and contextual information of natural text. Traditional databases struggle to handle the complexity and dimensionality of these embeddings effectively. Vector databases, however, are optimised to manage and retrieve high-dimensional data efficiently, making them ideal for storing…
