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Okay. So one of the things that people want to do often is have hybrid search in their particular retrievers. So what is hybrid search? Hybrid search is basically the combination of having both a keyword style search along with a vector style search. So weamp;#39;ve got the advantages of doing sort of keyword lookup. but also the advantage of doing the semantic lookup that we get from embeddings and a vector search So this makes use of a tool called BM 25. now BM 25. Is not a new algorithm at all. This has been around from, through the seventies, eighties for a long time. And to be really honest as someone whoamp;#39;s battled against this, this is a really good algorithm. meaning that for a long time, as people have worked on trying to come up with better embeddings. and using deep learning, often many techniques were actually just beaten by this BM 25 algorithm. So Iamp;#39;m not going to go into depth about this. You can certainly look it up on the web and read a little bit about
