New York Java SIG: Near Real-Time Retrieval-Augmented Generation (RAG) Pipelines at Scale in Java

Join us in New York for an engaging evening of expert insights and networking with fellow developers.

About the Session

Near Real-Time Retrieval-Augmented Generation (RAG) Pipelines at Scale in Java

In this session, Hazelcast Principal Architect Joe Sherwin will share proven approaches for:

• Why most enterprise RAG systems are not truly real-time
• Trade-offs between batch, micro-batch, and streaming AI architectures
• How streaming pipelines enable continuous ingestion and embedding
• Architectural patterns for distributed ML inferencing at scale
• How in-memory vector collections support resilient low-latency semantic search

Presented By