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"id": "efc5be67",
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"id": "efc5be67",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# VectorDB Question Ansering with Sources\n",
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"# VectorDB Question Answering with Sources\n",
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"\n",
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"\n",
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"This notebook goes over how to do question-answering with sources over a vector database. It does this by using the `VectorDBQAWithSourcesChain`, which does the lookup of the documents from a vector database. "
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"This notebook goes over how to do question-answering with sources over a vector database. It does this by using the `VectorDBQAWithSourcesChain`, which does the lookup of the documents from a vector database. "
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]
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]
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