In the multifaceted world of generative AI, data science, machine learning, and analytics, understanding the distance and relationship between data points is crucial. This is how Large Language Models (LLMs) understand the context and retrieve the data. Large amounts of unstructured data can be easily stored in a vector database that is represented in a three-dimensional space.

Whenever a user comes up with a query, the most approximate answer is retrieved from the database. It is amazing to see how the data is stored and how this calculation retrieves particular information. 

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