AlloyDB AI Functions - now with revolutionary performance boosts and cost savings

AlloyDB is an AI-native database—it isn’t just a passive data store, it intelligently understands and processes your data. With AlloyDB, you get industry-leading vector and hybrid search, near 100% accurate natural language-to-SQL capabilities to build conversational agents, tools to enable you to build with your agentic IDEs of choice , and the ability to bring the intelligence of foundation models like Gemini directly to your data through AI functions . In this blog post, we discuss the massive breakthroughs in AI function processing alongside a suite of brand-new AI functions. But first: what exactly are AI functions? They bring Gemini’s world knowledge to your AlloyDB data. Consider the challenge of managing raw user feedback: it’s unstructured, and difficult to parse through. Before this data can be leveraged for search, it may require pre-processing and entity extraction. Rather than maintaining complex custom pipelines for knowledge extraction, you can use Gemini’s generation capabilities directly within AlloyDB to transform raw text into structured, searchable insights. For example, here is how you can use ai.generate to instantly turn raw feedback into clean, structured JSON (see more examples here ): code_block 'gemini-3.1-pro-preview',\r\n prompt =>\r\n 'Analyze this raw customer feedback entry. Extract the country, service name, and a 1-sentence summary of the feedback. Return as JSON.'\r\n || raw_content) AS structured_feedback\r\nFROM raw_feedback_logs\r\nWHERE user_type <> 'internal';"), ('language', ''), ('caption', )])]> Here is a sample result: log_id raw_content structured_analysis 1001 2025-12-16 08:00:01 [ERROR] Service: OrderSvc