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docs: style nits (#21666)
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@ -142,7 +142,7 @@
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"\n",
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"`SelfQueryRetriever` will use a LLM to generate a query that is potentially structured-- for example, it can construct filters for the retrieval on top of the usual semantic-similarity driven selection. See [this guide](/docs/how_to/self_query) for more detail.\n",
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"\n",
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"`SelfQueryRetriever` includes a short (1 - 2 line) method `_get_docs_with_query` that executes the vectorstore search. We can subclass `SelfQueryRetriever` and override this method to propagate similarity scores.\n",
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"`SelfQueryRetriever` includes a short (1 - 2 line) method `_get_docs_with_query` that executes the `vectorstore` search. We can subclass `SelfQueryRetriever` and override this method to propagate similarity scores.\n",
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"\n",
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"First, following the [how-to guide](/docs/how_to/self_query), we will need to establish some metadata on which to filter:"
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]
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