mirror of
https://github.com/hwchase17/langchain
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20 lines
792 B
Python
20 lines
792 B
Python
from langchain.embeddings import OpenAIEmbeddings
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from langchain.vectorstores import Pinecone
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all_documents = {
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"doc1": "Climate change and economic impact.",
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"doc2": "Public health concerns due to climate change.",
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"doc3": "Climate change: A social perspective.",
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"doc4": "Technological solutions to climate change.",
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"doc5": "Policy changes needed to combat climate change.",
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"doc6": "Climate change and its impact on biodiversity.",
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"doc7": "Climate change: The science and models.",
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"doc8": "Global warming: A subset of climate change.",
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"doc9": "How climate change affects daily weather.",
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"doc10": "The history of climate change activism.",
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}
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Pinecone.from_texts(
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list(all_documents.values()), OpenAIEmbeddings(), index_name="rag-fusion"
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)
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