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Python

from langchain_community.embeddings import OpenAIEmbeddings
from langchain_pinecone import PineconeVectorStore
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.",
}
PineconeVectorStore.from_texts(
list(all_documents.values()), OpenAIEmbeddings(), index_name="rag-fusion"
)