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word embeddings are a way of representing words and phrases as vectors in the video on open AI whisper I mentioned how you could take text and convert it to a vector whats fascinating about this concept is that when you take words and phrases and convert them to a numerical representation words that are similar numerically are also similar in meaning and this allows us to do things like build a search engine in this tutorial Im going to show you how to build a semantic search engine using word embeddings so youll be able to build this application right here Ive generated the web app so the front end for this application using of course chat gbt to generate the python flask code and Dolly 2 to generate this little logo so what I can do here is search through a bunch of different earnings transcripts and so what Im going to do is say demand for artificial intelligence is increasing and so this is going to search an entire Corpus of documents and rather than trying to match just an e
