The text discusses the concept of vector search and its relation to artificial intelligence (AI) and large language models (LLMs). Vector search is a technique used to find similar data points in a high-dimensional space, where each point represents a piece of information such as text, image, or audio. The process involves converting the input data into vectors and then finding the most similar vectors in a database. This allows for efficient searching and retrieval of relevant data. The text also explains how LLMs work with vector search, using models of incorporation to understand language and generate vectors that represent concepts and their context. The authors argue that the popularity of vector search and LLMs can be attributed to the OpenAI's launch of ChatGPT, which made it easy for the general public to interact with LLMs, leading to a surge in adoption and development of related technologies.