Software dev with no ml background here. I'm trying to implement semantic search. User enters a query and I should return the top 3 closest results. Right now, I'm basically splitting all my text into sentences and storing the embedding of each sentence. Is this scalable? Is there a better way? Are there pre-trained models that can generate embeddings for paragraphs and larger bodies of text?