AWS Summit Sydney 2024: Best practices for querying vector data for generative AI apps

PostgreSQL makes it easier to store and query vector data for AI/ML use cases with the pgvector extension. Learning best practices for vector search will help deliver a high-performance experience to customers for generative AI applications. In this session, learn how to store vector data in an Amazon Aurora PostgreSQL-Compatible Edition database, while learning what SQL queries and tuning parameters optimize the performance of your application when working with AI/ML data, vector data types, exact and approximate nearest neighbor search algorithms, and vector-optimized indexing.
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