Apache Doris 4.0 GA on VeloDB: Context Engineering for AI

Apache Doris 4.0 is now Generally Available on VeloDB, following months of feedback from the open-source community and hardening by the VeloDB engineering team. This release marks a major chapter in the project's history by bringing real-time capabilities to AI workloads.

Come and hear about the use cases and projects powered by the features from Apache Doris 4.0, such as hybrid search retrieval to power AI knowledge stores, Spill to disk that unlocks ETL workloads, and new performance optimizations.

The excitement doesn't just end with Apache Doris 4.0 GA. The team is already hard at work on the next release. We are also pleased to announce the open source release of Apache Doris 4.1. Learn about capabilities that will help you scale the projects you begin with Apache Doris 4.1 across vector and full-text Search, lakehouse integration, and performance optimizations

We'll Discuss:

Real-world use cases from the Apache Doris community
Insights from the founder of CocoIndex on building AI agent pipelines with Apache Doris 4.0 and what real-time context engineering looks like end-to-end. CocoIndex is a data transformation framework that keeps data and context continuously up to date for AI retrieval.

Speakers:

Linghua Jin, CEO and Co-Founder at CocoIndex

Kevin Shen, Principal Product Manager at VeloDB