97. Embeddings and Vector Search: Semantic Search That Works
Akhilesh
Traditional search works on keywords. You type "cheap hotel", it looks for documents containing those exact words. Someone asks "affordable accommodation near the beach". Your documents say "budget-friendly lodging by the coast". Zero keyword overlap. Zero results. Search fails. Embeddings fix this. They convert text into vectors of numbers where similar meanings end up geometrically close. "Cheap" and "affordable" land near each other in vector space. "Hotel" and "accommodation" land near each