AWS Developers | What's next in pgvector: Building AI-enabled apps with PostgreSQL - AWS Databases in 15 @awsdevelopers | Uploaded 11 months ago | Updated 1 hour ago
Generative AI and Large Language Models (LLMs) are powerful technologies for building applications with richer and more personalized user experiences. This year, Amazon Aurora and Amazon RDS announced support for pgvector, an extension that allows you to store embeddings from machine learning (ML) models in your database and to perform efficient similarity searches. In this session, we’ll briefly introduce you to pgvector, how it works, and why it’s important. AWS has had the opportunity to collaborate with the PostgreSQL community on this extension, we want to dive into some upcoming enhancements to pgvector. We will close by talking about how you can get started contributing and/or using this extension in your own workloads.

***To learn more about the services featured in this talk, please visit: aws.amazon.com/rds/features/#Integrate_with_AI_and_ML
To download the slides visit: pages.awscloud.com/rs/112-TZM-766/images/2023_SN-1005-DAT_Slide-Deck.pdf



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