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 you deliver a high-performance experience to your customers.

In this session, learn how to store data from Amazon Bedrock in an Amazon Aurora PostgreSQL and learn 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.