Vector similarity search is a method of retrieving data or information from a large dataset by comparing the similarities between vectors. In other words, it is a search technique that helps to find similar items based on their vector representations. This method is widely used in various fields, including natural language processing, image recognition, and recommendation systems. Its effectiveness lies in quickly and accurately identifying items similar to a given query item, making it an important tool for data analysis and retrieval.