Mlops, Large Language Models, Llmops, Vector Database, Embeddings Search.
Method to populate the vector store with embeddings from a dataset def populate_vectors(self, dataset): for i, item in enumerate(dataset): combined_text = f"{item['instruction']}. {item['context']}" embeddings = self.embedding_model.encode(combined_text).tolist()