import pinecone
from langchain.vectorstores import Pinecone
from langchain.embeddings import OpenAIEmbeddings

pinecone.init(api_key="...",environment="...")

all_documents = {
    "doc1": "Climate change and economic impact.",
    "doc2": "Public health concerns due to climate change.",
    "doc3": "Climate change: A social perspective.",
    "doc4": "Technological solutions to climate change.",
    "doc5": "Policy changes needed to combat climate change.",
    "doc6": "Climate change and its impact on biodiversity.",
    "doc7": "Climate change: The science and models.",
    "doc8": "Global warming: A subset of climate change.",
    "doc9": "How climate change affects daily weather.",
    "doc10": "The history of climate change activism."
}

Pinecone.from_texts(list(all_documents.values()), OpenAIEmbeddings(), index_name='rag-fusion')