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examples/7_vector_index.py

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def main():
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select_ai.connect(user=user, password=password, dsn=dsn)
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profile = select_ai.Profile(profile_name="oci_ai_profile", merge=True)
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profile = select_ai.Profile(profile_name="oci_ai_profile")
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print("fetched profile: ", profile)
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vector_index_attributes = select_ai.VectorIndexAttributes(
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location="https://objectstorage.us-ashburn-1.oraclecloud.com/n/dwcsdev/b/conda-environment/o/tenant1-pdb3/graph",

examples/8_generate_synthetic_data.py

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# This example show how to generate multi-table synthetic data
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def main():
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select_ai.connect(user=user, password=password, dsn=dsn)
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profile = select_ai.Profile(profile_name="oci_ai_profile", merge=True)
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profile = select_ai.Profile(profile_name="oci_ai_profile")
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synthetic_data_params = select_ai.SyntheticDataParams(
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sample_rows=100, table_statistics=True, priority="HIGH"
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)

examples/9_conversation.py

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def main():
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select_ai.connect(user=user, password=password, dsn=dsn)
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profile = select_ai.Profile(profile_name="oci_ai_profile", merge=True)
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profile = select_ai.Profile(profile_name="oci_ai_profile")
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conversation_attributes = select_ai.ConversationAttributes(
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title="History of Science",
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description="LLM's understanding of history of science",

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