How to Decipher User Uncertainty with GenAI and Vector Search
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Ben Greenberg
Arbitrum
Senior Developer Relations Engineer
Monolithic databases waste energy, powering unused data in GenAI workloads. According to the 80/20 rule, only up to 20% of the data is regularly needed, while 80% is unused. The Eclipse open-source community works on the future of vector databases: a micro vector database network - inspired by the serverless microservice architecture principle. Unlike clunky, monolithic databases that waste energy running massive servers 24/7, whether data is accessed or not, a micro vector database network dynamically allocates compute power only to the 20% of data in use, shutting down up to 80% of idle regions. The result is a blazing-fast vector search for cutting-edge GenAI solutions, slashing energy, CO2 emissions, and infrastructure costs by up to 80%. Learn how this Eclipse project redefines performance and sustainability due to the Eclipse OpenJ9 JVM, aiming to globally reduce GenAIβs energy footprint with scalable, impactful innovation.
World Congress 2025
Ben Greenberg
Arbitrum
Senior Developer Relations Engineer
Eduard
Finanz Informatik
Data Engineer Data Analytics Platform
Jannis Eickenroth
Finanz Informatik
Head of Analytics and Customer Engagement
Sophie Kleinke
Finanz Informatik
Data Engineer
Francisco Carneiro
Eclipse Foundation
Ecosystem Development Manager
Kapil Gupta
E.ON Digital Technology
Chief Data Technologist