db/load_db.py

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()