Machine Learning, Semantic Search, Python, Programming, AI.
model.encode(query_preprocessed, convert_to_tensor=True) similarities = cosine_similarity(query_embedding, embeddings) top_indices = np.argsort(-similarities[0])[:top_n] top_results = data.iloc[top_indices].reset_index(drop=True) top_results['similarity'] = similarities[0][top_indices] return