code/embedding-function/utilities/search/azure_search_handler.py [118:128]:
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        self,
        question: str,
        tokenised_question: list[int],
        vectorized_question: list[float] | None,
    ):
        return self.search_client.search(
            search_text=question,
            vector_queries=[
                VectorizedQuery(
                    vector=self.llm_helper.generate_embeddings(tokenised_question),
                    k_nearest_neighbors=self.env_helper.AZURE_SEARCH_TOP_K,
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code/embedding-function/utilities/search/azure_search_handler.py [152:162]:
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        self,
        question: str,
        tokenised_question: list[int],
        vectorized_question: list[float] | None,
    ):
        return self.search_client.search(
            search_text=question,
            vector_queries=[
                VectorizedQuery(
                    vector=self.llm_helper.generate_embeddings(tokenised_question),
                    k_nearest_neighbors=self.env_helper.AZURE_SEARCH_TOP_K,
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