1st_langchain / pinecone_setup.py
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import os
import pinecone
from dotenv import load_dotenv
load_dotenv()
if __name__ == '__main__':
index_name = 'moviereviews'
# get api key from app.pinecone.io
api_key = os.environ.get('PINECONE_API_KEY') or 'YOUR_PINECONE_API_KEY'
# find your environment next to the api key in pinecone console
env = os.environ.get('PINECONE_ENVIRONMENT') or 'YOUR_PINECONE_ENVIRONMENT'
print(api_key, env)
pinecone.init(
api_key=api_key,
environment=env
)
if index_name not in pinecone.list_indexes():
# we create a new index
pinecone.create_index(
name=index_name,
metric='cosine',
dimension= 1536### YOU CODE HERE - REMEMBER TO USE THE SAME DIMENSION AS THE EMBEDDING MODEL (text-embedding-ada-002)
)