def load_data()

in skills/text_to_sql/evaluation/vectordb.py [0:0]

• 7 lines of code
• 6 McCabe index (conditional complexity)

    def load_data(self, data):
        if not self.embeddings:
                texts = [item["text"] for item in data]
                self.embeddings = [emb for batch in range(0, len(texts), 128) 
                                    for emb in self.client.embed(texts[batch:batch+128], model="voyage-2").embeddings]
                self.metadata = [item["metadata"] for item in data]  # Store only the inner metadata
                self.save_db()