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add semantic cache index
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{
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"fields": [
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{
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"numDimensions": 1536,
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"path": "embedding",
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"similarity": "cosine",
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"type": "vector"
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},
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{
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"path": "llm_string",
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"type": "filter"
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}
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],
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"name": "langchain-test-index-semantic-cache",
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"type": "vectorSearch",
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"database": "langchain_test_db",
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"collectionName": "langchain_test_cache"
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}

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