GenAI demands efficient data management

Boost your organization’s AI application performance with optimized SQL vector data queries

Webinar Developing high-performance generative AI applications often hinges on efficient data management.

The Register's James Hayes is hosting an instructive webinar on November 13th at 8am PT/11am ET designed to help businesses optimize their AI/ML infrastructure.

The session will see Jonathan Katz, Principal Product Manager at Amazon RDS, explain how Amazon Aurora PostgreSQL paired with Amazon Bedrock's fully-managed Retrieval Augmented Generation (RAG) capabilities, can simplify vector data querying.

James and Jonathan will cover key strategies, including fine-tuning SQL queries and parameters to optimize performance, and using vector-optimized indexing for faster search results. This event should prove useful for teams looking to integrate AI seamlessly with their private data, without the need for custom coding.

Attendees will leave with actionable insights on how to accelerate their AI applications and ensure that their systems are equipped for large-scale vector similarity searches.

Don't miss this opportunity to elevate your organization's AI capabilities.

Register here to access this webinar today.

Sponsored by AWS.