How AlloyDB overcomes indexing limitations with AI functions
AlloyDB powers enterprise-grade search for some of the largest organizations, providing robust hybrid search capabilities that combine text, vector, and keyword searches into a simple ranked SQL query. And with our recent launch of RUM index support, AlloyDB customers now have even more powerful full-text search capabilities at their fingertips.
However, database developers often face limitations when indexing continuous text in logographical languages like Chinese, Japanese, and Korean, where traditional whitespace-based tokenization fails. Gemini’s multilingual capabilities enable you to intelligently parse text in these languages to implement intelligent word segmentation and stop-word removal, but orchestrating row-wise API calls on massive datasets is slow and fragile. Now you can integrate the world knowledge of Gemini models natively into your database using AlloyDB AI Functions, enabling highly accurate full-text search for logographical languages without the administrative overhead of complex ETL pipelines.
Continuous text and logographical languages
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