from sentence_transformers import SentenceTransformer # Connect using a MilvusClient object from pymilvus import Collection from db_connect import connect # with open('responses.txt', 'r') as file: content = file.read() contents = content.split('\n\n') model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2') embeddings = model.encode(contents) data = [ contents, embeddings ] connect() collection = Collection("Response") collection.insert(data) collection.flush()