1 - Structured dataConfigure and use the retriever for unstructured data with extractve segments‚Äãfrom langchain.retrievers import GoogleCloudEnterpriseSearchRetrieverPROJECT_ID = "<YOUR PROJECT ID>"  # Set to your Project IDSEARCH_ENGINE_ID = "<YOUR SEARCH ENGINE ID>"  # Set to your data store IDretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,)query = "What are Alphabet's Other Bets?"result = retriever.get_relevant_documents(query)for doc in result:    print(doc)Configure and use the retriever for unstructured data with extractve answers‚Äãretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,    max_extractive_answer_count=3,    get_extractive_answers=True,)query = "What are Alphabet's Other Bets?"result = retriever.get_relevant_documents(query)for doc in result:    print(doc)Configure and use the retriever for structured data with extractve answers‚Äãretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,    engine_data_type=1)result = retriever.get_relevant_documents(query)for doc in result:    print(doc)PreviousElasticSearch BM25NextGoogle DriveInstall pre-requisitesConfigure access to Google Cloud and Google Cloud Enterprise SearchSet or create a Google Cloud poject and turn on Gen App BuilderCreate and populate an unstructured data storeSet credentials to access Enterprise Search APIConfigure and use the Enterprise Search retrieverOnly for Unstructured data sources:The mandatory parameters are:Configure and use the retriever for unstructured data with extractve segmentsConfigure and use the retriever for unstructured data with extractve answersConfigure and use the retriever for structured data with extractve answersCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Enterprise Search is a part of the Generative AI App Builder suite of tools offered by Google Cloud.
Enterprise Search is a part of the Generative AI App Builder suite of tools offered by Google Cloud. ->: 1 - Structured dataConfigure and use the retriever for unstructured data with extractve segments‚Äãfrom langchain.retrievers import GoogleCloudEnterpriseSearchRetrieverPROJECT_ID = "<YOUR PROJECT ID>"  # Set to your Project IDSEARCH_ENGINE_ID = "<YOUR SEARCH ENGINE ID>"  # Set to your data store IDretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,)query = "What are Alphabet's Other Bets?"result = retriever.get_relevant_documents(query)for doc in result:    print(doc)Configure and use the retriever for unstructured data with extractve answers‚Äãretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,    max_extractive_answer_count=3,    get_extractive_answers=True,)query = "What are Alphabet's Other Bets?"result = retriever.get_relevant_documents(query)for doc in result:    print(doc)Configure and use the retriever for structured data with extractve answers‚Äãretriever = GoogleCloudEnterpriseSearchRetriever(    project_id=PROJECT_ID,    search_engine_id=SEARCH_ENGINE_ID,    max_documents=3,    engine_data_type=1)result = retriever.get_relevant_documents(query)for doc in result:    print(doc)PreviousElasticSearch BM25NextGoogle DriveInstall pre-requisitesConfigure access to Google Cloud and Google Cloud Enterprise SearchSet or create a Google Cloud poject and turn on Gen App BuilderCreate and populate an unstructured data storeSet credentials to access Enterprise Search APIConfigure and use the Enterprise Search retrieverOnly for Unstructured data sources:The mandatory parameters are:Configure and use the retriever for unstructured data with extractve segmentsConfigure and use the retriever for unstructured data with extractve answersConfigure and use the retriever for structured data with extractve answersCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.