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Vector search is capable of far more than just standard "search" queries. In this demo, Paul Ramsey, AlloyDB Product Manager at Google, demonstrates how AlloyDB AI powers a high velocity fraud detection engine for a fictional global investment firm.
Key highlights include:
* Massive scale: Generating millions of embeddings in minutes using ai.initialize_embeddings(). ScaNN
* Indexing: Why Google’s ScaNN is the superior choice for financial streams, using 4x less memory than HNSW and scaling to 10B+ vectors
* The hybrid approach: Using the ai.if() function to break the tie between false positives and false negatives by bringing Gemini’s natural-language reasoning directly into the database.
Stop choosing between customer convenience and security. With AlloyDB, you get a high speed inference engine that protects your business in real time.
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Speaker: Paul Ramsey
Products Mentioned: AlloyDB for PostgreSQL