def query_search()

in code/embedding-function/utilities/search/azure_search_handler.py [0:0]

• 24 lines of code
• 3 McCabe index (conditional complexity)

    def query_search(self, question) -> List[SourceDocument]:
        logger.info(f"Performing query search for question: {question}")
        encoding = tiktoken.get_encoding(self._ENCODER_NAME)
        tokenised_question = encoding.encode(question)

        if self.env_helper.USE_ADVANCED_IMAGE_PROCESSING:
            logger.info("Using advanced image processing for vectorization")
            vectorized_question = self.azure_computer_vision_client.vectorize_text(
                question
            )
        else:
            logger.info("Skipping advanced image processing")
            vectorized_question = None

        if self.env_helper.AZURE_SEARCH_USE_SEMANTIC_SEARCH:
            logger.info("Performing semantic search")
            results = self._semantic_search(
                question, tokenised_question, vectorized_question
            )
        else:
            logger.info("Performing hybrid search")
            results = self._hybrid_search(
                question, tokenised_question, vectorized_question
            )

        logger.info("Converting search results to SourceDocument list")
        return self._convert_to_source_documents(results)