Vector Database: The Secret Behind Large Language Models Capabilities

What are Vector Databases and Why Are They Important for LLMs?

Have you ever wondered how language models like GPT-3, BERT, and others seem to understand and generate text with astonishing accuracy? The answer lies in their ability to represent words, sentences, and documents as dense numerical vectors, known as vector embeddings. These vector embeddings encode the semantic meaning and contextual information of the language, enabling LLMs to navigate and manipulate…