Switch enrichment cookbook from REST client to google-genai SDK#52
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Parallel grounding is available natively in the Gemini Python SDK as the parallel_ai_search tool, so the notebook no longer needs the local REST client: setup is now genai.Client plus one pip install, the hand-rolled pydantic-to-responseSchema converter is replaced by the SDK's native response_schema/parsed support, and a new section 1.4 attaches inline per-claim citations in code from grounding_supports byte offsets. Also adds a third use case, product catalog enrichment, reusing the same pipeline, and consolidates cells for a leaner read. Re-executed live end-to-end with all citations verified. Co-authored-by: Cursor <cursoragent@cursor.com>
…prose Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
parallel-m
approved these changes
Jul 14, 2026
manvesh
approved these changes
Jul 14, 2026
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Parallel grounding is available natively in the Gemini Python SDK as the parallel_ai_search tool, so the notebook no longer needs the local REST client: setup is now genai.Client plus one pip install, the hand-rolled pydantic-to-responseSchema converter is replaced by the SDK's native response_schema/parsed support, and a new section 1.4 attaches inline per-claim citations in code from grounding_supports byte offsets. Also adds a third use case, product catalog enrichment, reusing the same pipeline, and consolidates cells for a leaner read. Re-executed live end-to-end with all citations verified.