Take VMware Private AI Foundation with NVIDIA Further with Vectara’s Enterprise Agent Platform

VMware Private AI Foundation with NVIDIA, Broadcom and NVIDIA aim to unlock AI and unleash productivity with a lower TCO. With Vectara, enterprises can extend this platform’s capabilities with a production-ready AI agent platform that delivers the accuracy, governance, and observability required for high-priority AI workloads.

When you're building agentic workflows that need to take autonomous actions or deploying in regulated environments where every AI response must be verifiable or scaling to handle millions of documents with sub-second retrieval, you need capabilities.

That’s where Vectara comes in. Vectara is an enterprise AI agent platform purpose-built for security, accuracy, scalability, and observability that is available on-premises. To complement what VMware Private AI Foundation with NVIDIA provides, and to extend it with an enhanced application layer purpose-built for enterprise RAG at scale.

Key Value of Vectara

When you're operating in regulated environments or deploying AI that takes autonomous actions, you need additional capabilities like:

Enhanced Hallucination Detection. Your compliance team isn't going to accept "the model is usually accurate" as an answer. You need real-time validation that catches fabricated information before it reaches users. Vectara's proprietary Hallucination Evaluation Model (HHEM) assigns a quantitative factual consistency score to every response, giving your compliance team measurable proof of accuracy, not just promises.

Agentic workflows with guardrails. Letting AI systems take actions autonomously is powerful, but only if you can constrain what they're allowed to do and verify what they actually did. Vectara provides verifiable agent actions with full traceability and real-time observability.

Observable, auditable AI behavior. When regulators or auditors ask how your AI system makes decisions, you need more than logs. You need dashboards that show retrieval quality, answer accuracy, and agent behavior over time.

Cited responses out of the box. Every answer should point back to source documents. Users should be able to verify claims with a click. Building this well is harder than it looks. Vectara delivers inline, sentence-level citations out of the box, with direct links back to source passages. No custom engineering required.

The Architecture

Built and run on the industry-leading private cloud platform, VMware Cloud Foundation, VMware Private AI Foundation with NVIDIA includes the NVIDIA AI Enterprise, NVIDIA NIM inference microservices for the latest AI models, including NVIDIA Nemotron models and leading community models, and NVIDIA Blueprints.

Vectara deploys as a VCF Reference Architecture directly onto your VMware Cloud Foundation environment. It integrates with your existing infrastructure while adding capabilities optimized for production-ready agentic AI.

Think of it as an enhanced application layer that handles the hard parts of enterprise agents:

Guardian Agents validate every response against your source documents before it reaches users. When the underlying model hallucinates, the system catches it and corrects it. This runs automatically on every query.

Production-ready agentic workflows let you build AI systems that don't just answer questions but take actions. Document routing, automated extraction, and multi-step reasoning. including tool use and function calling, all managed through Vectara's agent builder.

Continuous RAG evaluation monitors answer quality, retrieval performance, and system behavior in real time. You get the metrics your compliance team will ask for without building the instrumentation yourself.

Where This Makes a Difference

Clinical Intelligence in Healthcare

A healthcare customer had VMware Private AI Foundation with NVIDIA running for ML workloads but needed something more specialized for clinical decision support. Physicians wanted to query research literature, treatment protocols, and drug databases through natural language. The catch: any AI that might hallucinate a medication dosage was a nonstarter. Vectara's Guardian Agents gave their compliance team the validation layer they required. Cited responses let physicians verify every recommendation against source documents. They went from "we can't deploy this" to "this is in production" in weeks.

Regulatory Document Processing in Financial Services

A financial customer was already using VMware Private AI Foundation with NVIDIA for model serving across several use cases. But their regulatory compliance team needed something more sophisticated: agentic workflows that could automatically process filings, extract key terms, flag risks, and route documents for human review. Building this from scratch would have taken months. Vectara's agentic orchestration engine, combined with built-in audit trails and role-based document access, enabled the compliance workflows they needed, with full traceability for every automated decision. Vectara’s agentic platform enabled the workflow orchestration and audit trails they needed, running on the same VMware infrastructure their operations team already managed.

How It Fits Together

Deployed as a workload inside the VMware vSphere Kubernetes Service (VKS), Vectara runs on the VMware Private AI Foundation with NVIDIA. This architecture allows it to utilize underlying GPUs for embeddings, reranking, and inference while adhering to the standard provisioning patterns used for your other Kubernetes applications.

Vectara provides the specialized capabilities for production RAG: the hallucination detection, the agentic orchestration, the observability, the citation infrastructure. You're not replacing your existing investment. You're extending it.

Vectara supports air-gapped deployments, and compliance frameworks like SOC 2, HIPAA, and ISO 27001 are built in. Scaling is horizontal, so you grow capacity by adding resources rather than rearchitecting.

Build on What You Have

VMware Private AI Foundation with NVIDIA provides a joint AI platform, between Broadcom and NVIDIA, that simplifies AI deployments for enterprises. Vectara builds on that with an enhanced application layer for production agentic AI, adding the trust, observability, and governance that enterprise deployments require.

Ready to extend your VMware Private AI Foundation investment?