what-is-vector-similarity-search-how-is-it-useful

Modern data search is a complex domain. Vector similarity search, or VSS, represents data with contextual depth and returns more relevant information to the consumers in response to a search query. Let's take a simple example. Search queries like "data science" and "science fiction" refer to different types of content despite both having a common word ("science"). A traditional search technique would match common phrases to return relevant results, which would be inaccurate in this case.