Traditional search such as ES and Lucene rely primarily on bag-of-words retrieval and keyword matching e.g. BM25, TF-IDF, etc. Vector databases such as Milvus a

Traditional search such as ES and Lucene rely primarily on bag-of-words retrieval and keyword matching e.g. BM25, TF-IDF, etc. Vector databases such as Milvus allow for _semantic_ search. Here's a highly simplified example: if my query was "fields related to computer science", a semantic engine could return "statistics" and "electrical engineering" while avoiding things such as "social science" and "political science".