AlloyDB AI: Revolutionizing Hybrid Search for PostgreSQL @googlecloudtech
AlloyDB AI: Revolutionizing Hybrid Search for PostgreSQL  @googlecloudtech
Uploaded June 2026 | Updated September 2026, 2 weeks ago
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Learn how AlloyDB turns complex, week long research tasks into sub-second queries. In this demo, Paul Ramsey (Product Manager, Google) showcases the power of Hybrid Search using a fictional financial services use case.

Key highlights include:
* Seamless embeddings: Generate millions of embeddings in minutes using ai.initialize_embeddings.
* High performance Vector Search: Scale to 10B+ vectors with ScaNN, performing up to 10x faster filtered vector search than standard PostgreSQL.
* Hybrid precision: Combine the keyword accuracy of full-text search (GIN, RUM) with the semantic depth of vector search.
* Gemini integration: Use built in AI functions like ai.summarize and ai.generate to extract insights directly within your SQL workflow.

Transform your cloud and AI journey by bringing the best of Google Research to the best of PostgreSQL.

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Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL
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AlloyDB AI: Revolutionizing Hybrid Search for PostgreSQL

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