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feat: add bigframes.bigquery.ai.generate_embedding
#2343
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feat: add bigframes.bigquery.ai.generate_embedding
#2343
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This change implements the `bigframes.bigquery.ai.generate_embedding` function, which wraps the BigQuery `AI.GENERATE_EMBEDDING` TVF. It supports: - Generating embeddings from DataFrames and Series. - Generating embeddings from pandas DataFrames and Series. - Specifying model name and arguments like `output_dimensionality`, `start_second`, `end_second`, and `interval_seconds`. The function is exposed in `bigframes.bigquery.ai`. Unit tests have been added to verify the generated SQL and argument mapping.
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bigframes.bigquery.ai.generate_embedding
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| @log_adapter.method_logger(custom_base_name="bigquery_ai") | ||
| def generate_embedding( |
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Does it make sense to expose this function as bbq.ai.generate_embedding too?
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Good catch! Done.
Implement AI.GENERATE_EMBEDDING function in bigframes.bigquery.ai.
PR created automatically by Jules for task 11924477578091076513 started by @tswast