I shared entire project. Code in calling create are the same for embedded and use_local_connection.

import os
import sys
import weaviate
from weaviate import WeaviateClient
from weaviate.classes.init import Auth
from weaviate.connect import ConnectionParams
import weaviate
from weaviate.embedded import EmbeddedOptions

Add the parent directory (or wherever “with_pinecone” is located) to the Python path

sys.path.append(os.path.abspath(os.path.join(os.path.dirname(file), ‘…’)))
from configs import configs

import logging

Configure logging for development

logging.basicConfig(
format=‘%(asctime)s - %(levelname)s - %(message)s’,
level=logging.INFO, # Changed from WARNING to INFO
handlers=[
logging.StreamHandler() # This ensures output to console
]
)

os.environ[‘OPENAI_API_KEY’]=configs.OPENAI_API_KEY

Function to create and return a Weaviate client object

def create_client():

headers = {“X-OpenAI-Api-Key”: configs.OPENAI_API_KEY}

Initialize connection params

“”"
connection_params = ConnectionParams(
http={“host”: WEAVIATE_HOST, “port”: WEAVIATE_HTTP_PORT, “secure”: False, “additional_headers”: headers},
grpc={“host”: WEAVIATE_HOST, “port”: WEAVIATE_GRPC_PORT, “secure”: False}
)
“”"
#client = weaviate.connect_to_local( headers = {“X-OpenAI-Api-Key”: configs.OPENAI_API_KEY})
“”"
client = weaviate.use_async_with_embedded (
version=“1.26.1”,
headers={“X-OpenAI-Api-Key”: OPENAI_API_KEY},
port=8079,
grpc_port=50051,
)
“”"

client = weaviate.connect_to_embedded(
version=“latest”,
persistence_data_path=configs.WEAVIATE_PERSISTENCE_PATH,
headers= headers,
environment_variables={
“ENABLE_MODULES”: “text2vec-openai,text2vec-cohere,text2vec-huggingface,ref2vec-centroid,generative-openai,qna-openai”,
}
)

logging.info (" === vectore_stores.py - embeded client initated {}".format(client))

return client

def close_client(client):
if client:
client.close()
print(“Weaviate client closed.”)

if name == “main”:

client = create_client()
print (client)
if not client.collections.exists(“Test”):
collection = client.collections.create(“Test”)
else:
collection = client.collections.get(“Test”)
collection.data.insert({“text”: "this is a test " })
print (collection)
client.close()