Speaker

Ulrich Hinze

Ulrich Hinze

Senior Solutions Architect @ AWS

Berlin, Germany

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Ulrich helps software companies build cost-effective, secure, and resilient SaaS offerings on AWS. He is also part of the AWS's OpenSearch community and supports customers in building their search and analytics workloads using Amazon OpenSearch Service. Before joining AWS, Ulrich spent over 10 years in different software engineering roles.

Area of Expertise

  • Information & Communications Technology
  • Media & Information
  • Region & Country

Topics

  • Cloud
  • Cloud & DevOps
  • Cloud Architecture
  • Cloud Computing
  • Cloud Security
  • Cloud & Infrastructure
  • Software as a Service
  • Software Engineering
  • Amazon Web Services

Vector search at scale: A deep dive into modern vector search techniques on OpenSearch

Comparing vectors is a fundamental capability in modern generative AI applications, enabling RAG and hybrid search use cases among others. Yet the details of how vectors are stored, retrieved, and compared by search engines are not widely understood. Modern vector search techniques allow for reduced memory and storage footprint and lower latency than naive exact comparisons, providing a better user experience at lower infrastructure cost. Join this session for a deep dive on modern vector search techniques and implementation in OpenSearch.

The Evolution of Search: From Keywords to Vectors and Beyond with OpenSearch

Vector search is all the hype, but how do you combine and integrate it with classic search techniques? In this session, we take a tour through the evolution of search, from simple string matching to lexical search to distributed search systems, semantic and AI-powered approaches. You learn what to keep in mind when building your search product or feature, and how OpenSearch can help you deliver.

OpenSearch Under Pressure: We Break It, You Fix It

Troubleshooting distributed systems takes practice—and OpenSearch is no exception. In this hands-on workshop, you'll investigate and resolve real-world issues in Amazon OpenSearch Service environments. From slow queries and indexing failures to shard imbalances and cluster instability, you'll perform root-cause analysis and remediate the issues. Strengthen your skills in diagnosing problems, applying fixes, and restoring performance. Whether you're an OpenSearch beginner or an experienced user, this session will sharpen your operational instincts and prepare you for production challenges. Get ready to get your hands dirty—we’ll break it, and you’ll fix it.

This is a hands-on workshop, you need your laptop to participate.

Building AI Agents with Amazon Bedrock AgentCore

Building production-grade generative AI applications is hard. Security, observability, scalability, and reliability all need to be designed and built besides orchestrating prompts. Amazon Bedrock AgentCore is a new set of AWS features that simplifies this heavy lifting and integrates with your favorite open-source framework. In this session, we explore AgentCore in depth and walk through a demo application running on AgentCore.

Ulrich Hinze

Senior Solutions Architect @ AWS

Berlin, Germany

Actions

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