The text discusses the concept of vector search and its relevance in modern AI applications. Vector search is a technique used to find similar data points by representing them as vectors in a high-dimensional space, allowing for efficient querying and retrieval of relevant information. The text explains that vector search has been around since 2016 but gained popularity with the release of OpenAI's ChatGPT model in November 2022, which made large language models (LLMs) accessible to the general public. LLMs use vectorized representations of text data to perform tasks such as language understanding and generation. The text highlights the importance of vector search in enabling efficient querying and retrieval of relevant information from large datasets, particularly in applications like natural language processing and computer vision. It also notes that the growth of popular AI models like ChatGPT has led to increased adoption of vector search technology by companies in the data industry.