text: your application code.If running in Google Colab authenticate with google.colab.google.auth otherwise follow one of the supported methods to make sure that you Application Default Credentials are properly set.import sysif "google.colab" in sys.modules:    from google.colab import auth as google_auth    google_auth.authenticate_user()Configure and use the Enterprise Search retrieverâ€‹The Enterprise Search retriever is implemented in the langchain.retriever.GoogleCloudEntepriseSearchRetriever class. The get_relevan_documents method returns a list of langchain.schema.Document documents where the page_content field of each document is populated with either an extractive segment or an extractive answer that matches a query. The metadata field is populated with metadata (if any) of a document from which the segments or answers were extracted.An extractive answer is verbatim text that is returned with each search result. It is extracted directly from the original document. Extractive answers are typically displayed near the top of web pages to provide an end user with a brief answer that is contextually relevant to their query. Extractive answers are available for website and unstructured search.An extractive segment is verbatim text that is returned with each search result. An extractive segment is usually more verbose than an extractive answer. Extractive segments can be displayed as an answer to a query, and can be used to perform post-processing tasks and as input for large language models to generate answers or new text. Extractive segments are available for unstructured search.For more information about extractive segments and extractive answers refer to product documentation.When creating an instance of the retriever you can specify a number of parameters that control which Enterprise data store to access and how a natural language query is processed, including configurations for extractive answers and segments.The mandatory parameters are:project_id - Your Google Cloud PROJECT_IDsearch_engine_id - The ID of the data store you want to use. The project_id and search_engine_id parameters can