# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).
import oci
# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()
# Initialize service client with default config file
generative_ai_client = oci.generative_ai.GenerativeAiClient(config)
# Send the request to service, some parameters are not required, see API
# doc for more info
create_semantic_store_response = generative_ai_client.create_semantic_store(
create_semantic_store_details=oci.generative_ai.models.CreateSemanticStoreDetails(
compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
display_name="EXAMPLE-displayName-Value",
data_source=oci.generative_ai.models.CreateDataSourceDatabaseToolsConnectionDetails(
connection_type="DATABASE_TOOLS_CONNECTION",
querying_connection_id="ocid1.test.oc1..<unique_ID>EXAMPLE-queryingConnectionId-Value",
enrichment_connection_id="ocid1.test.oc1..<unique_ID>EXAMPLE-enrichmentConnectionId-Value"),
schemas=oci.generative_ai.models.CreateSchemasDatabaseToolsConnectionDetails(
connection_type="DATABASE_TOOLS_CONNECTION",
schemas=[
oci.generative_ai.models.SchemaItem(
name="EXAMPLE-name-Value")]),
description="EXAMPLE-description-Value",
refresh_schedule=oci.generative_ai.models.RefreshScheduleIntervalDetails(
type="INTERVAL",
value="EXAMPLE-value-Value"),
freeform_tags={
'EXAMPLE_KEY_gG7CE': 'EXAMPLE_VALUE_sN1hXxPiqS3pt6EsnBBj'},
defined_tags={
'EXAMPLE_KEY_0yy0U': {
'EXAMPLE_KEY_wI3b2': 'EXAMPLE--Value'}}),
opc_retry_token="EXAMPLE-opcRetryToken-Value",
opc_request_id="EYZSNSGFSV7II3XNZ8EM<unique_ID>")
# Get the data from response
print(create_semantic_store_response.data)