Machine Learning, Semantic Search, Python, Programming, AI.
function that takes a query, preprocesses it, calculates the cosine similarity between the query and document embeddings, and returns the top results: from sklearn.metrics.pairwise import cosine_similarity def search(query, top_n=5): query_preprocessed = preprocess_text(query) query_embedding =