Jonathan Katz

In this session, gain the skills needed to deploy end-to-end generative AI applications using your most valuable data. While this session focuses on the Retrieval Augmented Generation (RAG) process, the concepts also apply to other methods of customizing generative AI applications.

PostgreSQL makes it easier to store and query vector data for artificial intelligence and machine learning (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.

The integration of embeddings generated from LLMs for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL presents a powerful and efficient solution for optimizing the product catalog similarity search experience.

PostgreSQL is a popular open source relational database that is available on Amazon RDS and Amazon Aurora and also helps power Amazon.com. Given the importance of PostgreSQL to Amazon and AWS users, AWS is committed to investing in PostgreSQL to help both the project and its builder community be successful.

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.

The integration of embeddings generated from LLMs for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL presents a powerful and efficient solution for optimizing the product catalog similarity search experience.

In this chalk talk, learn about the vector database capabilities of the pgvector extension in Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL.

PostgreSQL’s extensible architecture is one of its superpowers, allowing people to plug in additional capabilities to meet their needs. However, building those extensions and deploying them to production is complex and can lead to instability issues for the first-time extension developer.

Amazon Relational Database Service (Amazon RDS) makes it fast and simple for you to get started with familiar database engines. As your business begins to grow, you need a cloud solution that scales with you.

In this workshop, learn to deploy a continuous integration and delivery (CI/CD) workflow using GitOps and the AWS Controllers for Kubernetes (ACK) service controller for Amazon RDS on Amazon EKS to create and manage Amazon Aurora Serverless v2 databases effectively. GitOps relies on Git as the single source of truth for declaratively managing containerized infrastructure and application...

One reason for PostgreSQL’s growing popularity is its feature-rich extensions. However, installing extensions can introduce software defects that can corrupt data or crash a database.

PostgreSQL 10 introduced SCRAM (Salted Challenge Response Authentication Mechanism) to securely authenticate passwords. The SCRAM algorithm lets a client and server securely validate a password without ever exchanging the password using a series of cryptographic methods!In this talk, we will...

Feature freeze for PostgreSQL 15 has come and gone. What does this mean for the upcoming release? This talk explores many of the new features that will be released in the next major version of PostgreSQL and explains how they can impact your workload. Some of the features may change before...