AlloyDB adds native AI functions for SQL-based classification and extraction
In short: Google has launched two new SQL functions for AlloyDB, ai.classify and ai.extract, enabling Gemini-powered operations directly within PostgreSQL 18. These functions automate unstructured text processing, such as sentiment analysis or JSON extraction, without requiring custom application-side wrappers or complex data pipelines.
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What changed?
- 1Introduction of ai.classify for single and multi-label text categorization.
- 2Introduction of ai.extract for transforming unstructured text into structured JSON schema.
- 3Implementation of smart batching to optimize inference performance and token usage.
- 4Support for PostgreSQL 18 via the google_ml_integration extension version 1.6.1+.
Why it matters
By moving AI logic into the database, you eliminate the need for external API middleware, reducing query latency and network risk. This approach simplifies the architecture for applications that need to process feedback, clinical notes, or legal contracts directly at the data source.
What it means for AI agents and contact centers
For your infrastructure, this means you can perform real-time data enrichment and analysis on incoming call data directly where it is stored. Test whether this reduces the latency compared to your current external API pipelines and evaluate if it simplifies your schema extraction logic for CRM integrations.
🧪 Worth Testing
Testing these functions could significantly streamline your data extraction pipelines for contact center metadata and reduce reliance on external API orchestration code.
Sources
- Google Cloud AIOfficialPrimary sourceOriginal article →„Introducing new AI functions for AlloyDB: ai.classify and ai.extract“11 Nov 2026, 19:00
- Published by source
- 11 Nov 2026, 19:00
- Found by our system
- 11 Nov 2026, 19:35
- Summary generated
- 11 Nov 2026, 22:39
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy