Machine Learning, Semantic Search, Python, Programming, AI.
pre-trained Sentence-BERT model to generate document embeddings. Load the model and create embeddings: model = SentenceTransformer('paraphrase-distilroberta-base-v2') embeddings = model.encode(data['cleaned_text'].tolist(), convert_to_tensor=True) Implementing the Search Function Define the search