Enterprise Search and use the Enterprise Search retriever. The Enterprise Search retriever encapsulates the Generative AI App Builder Python client library and uses it to access the Enterprise Search Search Service API.Install pre-requisites‚ÄãYou need to install the google-cloud-discoverengine package to use the Enterprise Search retriever.pip install google-cloud-discoveryengineConfigure access to Google Cloud and Google Cloud Enterprise Search‚ÄãEnterprise Search is generally available for the allowlist (which means customers need to be approved for access) as of June 6, 2023. Contact your Google Cloud sales team for access and pricing details. We are previewing additional features that are coming soon to the generally available offering as part of our Trusted Tester program. Sign up for Trusted Tester and contact your Google Cloud sales team for an expedited trial.Before you can run this notebook you need to:Set or create a Google Cloud project and turn on Gen App BuilderCreate and populate an unstructured data storeSet credentials to access Enterprise Search APISet or create a Google Cloud poject and turn on Gen App Builder‚ÄãFollow the instructions in the Enterprise Search Getting Started guide to set/create a GCP project and enable Gen App Builder.Create and populate an unstructured data store‚ÄãUse Google Cloud Console to create an unstructured data store and populate it with the example PDF documents from the  gs://cloud-samples-data/gen-app-builder/search/alphabet-investor-pdfs Cloud Storage folder. Make sure to use the Cloud Storage (without metadata) option.Set credentials to access Enterprise Search API‚ÄãThe Gen App Builder client libraries used by the Enterprise Search retriever provide high-level language support for authenticating to Gen App Builder programmatically. Client libraries support Application Default Credentials (ADC); the libraries look for credentials in a set of defined locations and use those credentials to authenticate requests to
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. ->: Enterprise Search and use the Enterprise Search retriever. The Enterprise Search retriever encapsulates the Generative AI App Builder Python client library and uses it to access the Enterprise Search Search Service API.Install pre-requisites‚ÄãYou need to install the google-cloud-discoverengine package to use the Enterprise Search retriever.pip install google-cloud-discoveryengineConfigure access to Google Cloud and Google Cloud Enterprise Search‚ÄãEnterprise Search is generally available for the allowlist (which means customers need to be approved for access) as of June 6, 2023. Contact your Google Cloud sales team for access and pricing details. We are previewing additional features that are coming soon to the generally available offering as part of our Trusted Tester program. Sign up for Trusted Tester and contact your Google Cloud sales team for an expedited trial.Before you can run this notebook you need to:Set or create a Google Cloud project and turn on Gen App BuilderCreate and populate an unstructured data storeSet credentials to access Enterprise Search APISet or create a Google Cloud poject and turn on Gen App Builder‚ÄãFollow the instructions in the Enterprise Search Getting Started guide to set/create a GCP project and enable Gen App Builder.Create and populate an unstructured data store‚ÄãUse Google Cloud Console to create an unstructured data store and populate it with the example PDF documents from the  gs://cloud-samples-data/gen-app-builder/search/alphabet-investor-pdfs Cloud Storage folder. Make sure to use the Cloud Storage (without metadata) option.Set credentials to access Enterprise Search API‚ÄãThe Gen App Builder client libraries used by the Enterprise Search retriever provide high-level language support for authenticating to Gen App Builder programmatically. Client libraries support Application Default Credentials (ADC); the libraries look for credentials in a set of defined locations and use those credentials to authenticate requests to