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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from langchain.vectorstores import Chroma, Pinecone\n",
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"import pinecone \n",
"import os\n",
"from dotenv import load_dotenv, find_dotenv\n",
"load_dotenv(find_dotenv() )\n",
"\n",
"pinecone.init(\n",
" api_key=os.environ[\"PINECONE_API_KEY\"], \n",
" environment=os.environ[\"PINECONE_ENV\"]\n",
")\n",
"\n",
"OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')\n",
"\n",
"PINECONE_API_KEY = os.environ.get('PINECONE_API_KEY')\n",
"PINECONE_API_ENV = os.environ.get('PINECONE_API_ENV') # You may need to switch with your env\n",
"PINECONE_INDEX_NAME= os.environ.get('PINECONE_INDEX_NAME')\n",
"\n",
"def get_default_index() -> Pinecone:\n",
" embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)\n",
" # initialize pinecone\n",
" pinecone.init(\n",
" api_key=PINECONE_API_KEY, # find at app.pinecone.io\n",
" environment=PINECONE_API_ENV # next to api key in console\n",
" )\n",
" index_name = PINECONE_INDEX_NAME # put in the name of your pinecone index here\n",
" print(PINECONE_API_ENV)\n",
" print(PINECONE_API_KEY)\n",
" if index_name not in pinecone.list_indexes():\n",
" # we create a new index\n",
" pinecone.create_index(\n",
" name=index_name,\n",
" metric='cosine',\n",
" dimension=len(res[0]) # 1536 dim of text-embedding-ada-002\n",
" )\n",
" index = pinecone.GRPCIndex(index_name)\n",
" return index\n",
"\n",
"index = get_default_index()\n",
"index.describe_index_stats()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from modules.vector_stores.vector_stores.pinecone_manager import get_default_pinecone_session, PineconeSessionManager\n",
"import os\n",
"from langchain.vectorstores import Pinecone\n",
"PINECONE_INDEX_NAME= os.environ.get('PINECONE_INDEX_NAME')\n",
"print(PINECONE_INDEX_NAME)\n",
"### This is the default pinecone session manager\n",
"pinecone_session: PineconeSessionManager = get_default_pinecone_session(PINECONE_INDEX_NAME)\n",
"### This is the index for the default pinecone session manager\n",
"vector_index: Pinecone = pinecone_session.docsearch"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
},
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}
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