Get a data store

Code sample

Python

For more information, see the Vertex AI Agent Builder Python API reference documentation.

To authenticate to Vertex AI Agent Builder, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.


from google.api_core.client_options import ClientOptions
from google.cloud import discoveryengine

# TODO(developer): Uncomment these variables before running the sample.
# project_id = "YOUR_PROJECT_ID"
# location = "YOUR_LOCATION" # Values: "global"
# data_store_id = "YOUR_DATA_STORE_ID"


def get_data_store_sample(
    project_id: str,
    location: str,
    data_store_id: str,
) -> discoveryengine.DataStore:
    #  For more information, refer to:
    # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store
    client_options = (
        ClientOptions(api_endpoint=f"{location}-discoveryengine.googleapis.com")
        if location != "global"
        else None
    )

    # Create a client
    client = discoveryengine.DataStoreServiceClient(client_options=client_options)

    request = discoveryengine.GetDataStoreRequest(
        # The full resource name of the data store
        name=client.data_store_path(project_id, location, data_store_id)
    )

    # Make the request
    data_store = client.get_data_store(request=request)

    print(data_store)

    return data_store

What's next

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