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At KubeCon 2026, Jad El-Zein and Frank Denneman sit down with Jeff Chapman from Vectara to discuss how enterprise RAG, vector databases, and AI agents are evolving inside modern private AI environments.

The conversation explores how Vectara integrates with VMware Private AI Foundation and VMware Cloud Foundation to help organizations scale AI applications securely across millions of documents while maintaining role-based access control, multimodal ingestion, and sovereign data protections. They also dive into enterprise search, hallucination prevention, citations, agent orchestration, long-running AI agents, GPU efficiency, and why on-prem AI infrastructure is becoming increasingly important for enterprises building production AI systems.

Topics include:

Enterprise RAG vs traditional search
Vector databases and multimodal AI
Role-based access control for AI
AI agents and orchestration
Sovereign AI and air-gapped environments
GPU utilization and scaling AI workloads
VMware Private AI Foundation integration
On-prem AI economics and token costs

#KubeCon #AI #PrivateAI #VMware #VCF #RAG #Agents #Kubernetes #VectorDatabase #EnterpriseAI