AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407)

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-Compatible Edition database 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.
Learn more about AWS re:Invent at go.aws/46iuzGv.
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[@system700]

Your talks is super clear and to the point.

[@mkamp]

Totally, and substantial.

[@lovemormus]

explains very clearly