Accelerate analytics and semantic search in real-time with AlloyDB for PostgreSQL @googlecloudtech

Updated September 2026, 1 week ago

Accelerate analytics and semantic search in real-time with AlloyDB for PostgreSQL

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$Make your website agent ready with WebMCP Join Gemini Enterprise Agent Ready (GEAR) for the latest agent resources here. → https://goo.gle/3Srblgl Access the source code on GitHub → https://goo.gle/4g8TC5t AI agents are becoming major consumers of the web, but todays websites are built for humans, not machines. WebMCP changes that. In this video, Hugo Zanini, a Google Developer Expert in AI, shows how to expose typed tools directly inside web pages so AI agents can act reliably, quickly, and at a fraction of the token cost. Watch along and learn: * The agent shopping problem and why current approaches like screenshot-scraping fall short. * How WebMCP works to expose contextual tools directly through simple browser APIs. * A live demo of Happy Coffee (a React-based developer portal) showing Gemini in action searching catalogs and analyzing quality checks. * WebMCP for Local Agents, demonstrating how local workflows can leverage web UIs to accelerate development. Watch more How I built my agent → https://www.youtube.com/playlist?list=PLIivdWyY5sqLseBL8iUmVbdd_h30C4oEo 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech Speaker: Hugo Zanini Products Mentioned: WebMCP, React, Gemini$

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Accelerate analytics and semantic search in real-time with AlloyDB for PostgreSQL